### Paper about Event Detection
阅读原文时间:2020年09月21日阅读:1

Paper about Event Detection.

#@author:       gr
#@date:         2014-03-15
#@email:        forgerui@gmail.com

看一些相关的论文。

1. 《Efficient Visual Event Detection using Volumetric Features》 ICCV 2005

  • 扩展2D box 特征到3D时空特征。
  • 构建一个实时的检测器基于容积特征。
  • 采用传统的兴趣点方法检测事件。

2. 《ARMA-HMM: A New Approach for Early Recognition of Human Activity》 ICPR 2012

  • 提出一个新的ARMA-HMM模型,融入了序列模型HMM和时序模型ARMA
  • 提出一个新的特征叫做HOV(histogram of oriented velocity),把活动视频编码成运动信号的序列。

3. 《Poselet Key-framing: A Model for Human Activity Recognition》 CVPR 2013

  • 一个事件可以通过时空关键帧建模,它是人物关键姿势的集合。
  • 我们使用最大边界判别模型学习这个问题,其中,把关键帧当作隐藏变量。可以同时学习关键帧,并学习它们的局部上下文。
  • 关键帧使用HoG和Bow组件编码。
  • 模型支持时空定位,并且对丢帧和部分遮挡不敏感。

4. 《Recognize Human Activities from Partially Observed Videos》 CVPR 2013

  • 将每个事件划分成多个有序的时间序列片段
  • 使用训练视频的时空特征作为基础,采用稀疏编码产生每个片段的似然
  • 最后联合每个片段的似然,得到全局的后验概率。
  • 进一步扩展片段到多时间长度的模型,

5. 《Prediction of Human Activity by Discovering Temporal Sequence Patterns》 PAMI 2014

  • 提出一个系统的框架通过发掘时间序列模式解决复杂事件预测问题
  • 用PST(probabilistic suffix tree)对因果关系进行建模
  • 用SPM(sequential pattern mining)对上下文线索特别是交互目标信息进行建模,其中一系列动作和联合出现的物体通过复杂符号序列编码
  • 提出PAF(predictive accumulative function)描述事件所属类别的概率

6. 《Learning Maximum Margin Temporal Warping for Action Recognition》 ICCV 2013

  • 提出一个新的基于学习的判别时间对齐方法,叫做MMTW(maximum margin temporal warping),它可以对齐两个动作序列并且计算匹配得分。
  • MMTW方法可以学习身体动作模板表示一个最大可能性的动作类。

7. 《A Discriminative Model with Multiple Temporal Scales for Action Prediction》 ECCV 2014

  • 提出一个新的多尺度判别模型可以从部分视频中预测事件类别
  • 模型考虑了所有历史观察到的特征和所有小的时间片段的特征
  • 学习方法可以收效地提取时间演变,保持片段和相关部分视频的一致性

8. 《Concurrent Action Detection with Structural Prediction》 ICCV 2013

  • 提出一个同时发生的动作检测模型,当作结构预测问题
  • 检测动作间隔由唯一的局部检测器和它们和动作的关系决定
  • 使用小波特征表示动作序列,设计一个时间的逻辑描述子去描述动作之间关系。
  • 给定一个长的视频序列,设计一个序列决策容器搜索算法检测事件。
  1. 《Event Detection using Multi-Level Relevance Labels and Multiple Features》

  2. 《Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts》

  3. 《Video Event Detection by Inferring Temporal Instance Labels》

  4. 《Temporal Sequence Modeling For Video Event Detection》

  5. 《Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts (PDF) - formely: Recognition of Complex Events exploiting Temporal Dynamics between Underlying Concepts》

  6. 《DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting》

  7. 《A Hierarchical Context Model for Event Recognition in Surveillance Video》

  8. 《Spatio-temporal Event Classification using Time-series Kernel based Structured Sparsity》

  9. 《Sequential Max-Margin Event Detectors》

  10. 《Recognizing Complex Events in Videos by Learning Key Static-Dynamic Evidences》

  11. 《Large-scale Web Video Event Classification by use of Fisher Vectors》 Code

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George Awad -- Dakota Consulting, Inc

Alan Smeaton -- Dublin City University

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Wessel Kraaij -- TNO, Radboud University Nijmegen

Georges Quénot -- Laboratoire d'Informatique de Grenoble

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Stephanie Strassel, Xuansong Li -- Linguistic Data Consortium

Mubarak Shah, Cherry Place, Tonya LaPrarie -- University of Central Florida

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Paul Over -- NIST

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George Awad -- Dakota Consulting, Inc

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Martial Michel -- NIST

David Joy -- NIST

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Vladimir Dreyvitser -- Systems Plus, Inc

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G. Ye, D. Liu, S. Chang -- Dept. of Electrical Engineering, Columbia University, USA

R. Salakhutdinov -- Dept. of Computer Science, University of Toronto, Toronto, Canada

V. Morariu, L. Davis -- Dept. of Computer Science University of Maryland, USA

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S. Guler, A. Morde -- IntuVision Inc, MA, USA

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Multimedia Communication and Pattern Recognition Labs, Beijing University of Posts and Telecommunications

(.pdf)

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City College of New York

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Poster: CCNY at TRECVID 2014: Surveillance Event Detection (.pdf)

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X. Rong, X. Yang -- Dept. of Electrical Engineering, The City College, CUNY

EURECOM

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Fudan

Paper: Fudan Team at TRECVID 2014: Multimedia Event Detection (.pdf)

Z. Wu, R. Zhao -- School of Computer Science, Fudan University, Shanghai, China

Florida International University University of Miami

Paper:Florida International University - University of Miami TRECVID 2014 (.pdf)

M. Gavidia -- Dept. of Computer Science, University of Miami, FL, USA

T. Sayed, Y. Yan, Q. Zhu, M. Shyu, M. Ma -- Dept. of Electrical and Computer Engineering, University of Miami, FL, USA

S. Chen, H. Ha -- School of Computing and Information Sciences, Florida International University, FL, USA

W. Chen -- School of Electrical and Computer Engineering, Purdue University, IN, USA

T. Chen -- Miami Palmetto Senior High School, FL, USA

Orange Labs International Center Beijing

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H. Bai -- Orange Labs International Center Beijing, China

INRIA LEAR LIMSI Vocapia Research, AXES

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L. Lamel, J. Gauvin -- Spoken Language Processing group, LIMSI, CNRS, France

C. A. Schmidt -- Fraunhofer Sankt Augustin, Germany

Insight Centre for Data Analytics

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A. Salvador, X. Giró-i-Nieto, C. Ventura -- Image Processing Group, Universitat Polit`ecnica de Catalunya, Spain

Poster: Insight DCU @TRECVid 2014 (.pdf)

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IBM Research

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A. Choudhary -- EECS Dept., Northwestern University, IL, USA

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A. Choudhary -- Northwestern University

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Carnegie Mellon University

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Y. Zhao -- Beijing Institute of Technology

X. Du -- The University of Queensland

Slides: CMU-Informedia @ TRECVID 2014 Semantic Indexing (.pdf)

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Slides: CMU Informedia @ TRECVID Multimedia Event Detection (.pdf)

S. Yu, L. Jiang, Z. Mao, X. Chang, X. Du, C. Gan, Z. Lan, Z. Xu, X. Li, Y. Cai, A. Kumar, Y. Miao, L. Martin, N. Wolfe, S. Xu, H. Li, M. Lin, Z. Ma, Y. Yang, D. Meng, S. Shan, P. D. Sahin, S. Burger, F. Metze, R. Singh, B. Raj, T. Mitamura, R. Stern, and A. Hauptmann -- Carnegie Mellon University

Slides: CMU-Informedia @ TRECVID 2014 Surveillance Event Detection (.pdf)

X. Du, Y. Cai, Y. Zhao, H. Li, Y. Yang, and A. Hauptmann -- CMU Informedia Group, Carnegie Mellon University

Poster: Zero-Example Event Search using MultiModal Pseudo Relevance Feedback (MMPRF) (.pdf)

L. Jiang, T. Mitamura, S. Yu, A. Hauptmann -- Carnegie Mellon University

Poster: E-Lamp Prototype System (.pdf)

CMU E-Lamp Team -- Carnegie Mellon University

CEA-LIST, ETIS, EURECOM, INRIA, LABRI, LIF, LIG, LIMSI, LIP6, LIRIS, LISTIC

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P. Gosselin, D. Picard -- ETIS UMR 8051, ENSEA, Université Cergy-Pontoise, CNRS, France

M. Redi, B. Mérialdo -- EURECOM, France

B. Mansencal, J. Benois-Pineau -- LABRI UMR 5800, Université Bordeaux 1 / Université Bordeaux 2 / CNRS / ENSEIRB, France

S. Ayache -- LIF UMR 6166, CNRS / Université de la Méditerranée / Université de Provence, France

N. Derbas, M. Budnik, G. Quénot -- UJF-Grenoble 1 / UPMF-Grenoble 2 / Grenoble INP / CNRS, LIG UMR 5217, France

B. Gao, C. Zhu, Y. tang, E. Dellandrea, C. Bichot, L. Chen -- LIRIS, UMR 5205 CNRS / INSA de Lyon / Université Lyon 1 / Université Lyon 2 / École Centrale de Lyon, France

A. Benoît, P. Lambert, T. Strat -- LISTIC, Domaine Universitaire, France

Information Technologies Institute, Centre for Research and Technology Hellas

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I. Patras -- Queen Mary University of London, UK

Slides: Video event detection using subclass discriminant analysis and linear support vector machines (.pdf)

N. Gkalelis, D. Galanopoulos, V. Mezaris -- Information Technologies Institute / Centre for Research and Technology Hellas

Korea University

Paper:KU-ISPL TRECVID 2014 Multimedia Event Detection System (.pdf)

S. Lee, H. Wang, M. Keum, D. Park, H. Choi, Z. Fataliyev, H. Ko -- Intelligent Signal Processing Laboratory, Korea University

Beijing Institute of Technology, China Institute for Infocomm Research, Singapore

Paper:A system for TRECVID MED by MCIS (.pdf)

Y. Feng, W. Sui, X. Wu -- Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China

JOANNEUM RESEARCH

Paper:JOANNEUM RESEARCH at TRECVID 2014 Instance Search Task (.pdf)

H. Stiegler, W. Bailer -- JOANNEUM RESEARCH, DIGITAL - Institute for Information and Communication Technologies, Graz, Austria

University of Amsterdam

Paper:MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video (.pdf)

C.G.M. Snoek, S. Cappallo, J. van Gemert, A. Habibian, T. Mensink, P. Mettes, R. Tao, D.C. Koelma, A.W.M. Smeulders -- ISLA, University of Amsterdam, Amsterdam, The Netherlands

K.E.A. van de Sande, D. Fontijne -- Qualcomm Technologies, Amsterdam, The Netherlands

Slides: Video Concept Detection by Deep Nets with FLAIR (.pdf)

C. Snoek, K. v. de Sande, D. Fontijne -- Qualcomm Technologies, Netherlands B.V., and University of Amsterdam, Amsterdam

Slides: VideoStory At TRECVID 2014 (.pdf)

A. Habibian, T. Mensink, C. Snoek -- MediaMill | ISLA, University of Amsterdam

Tongji University - Multimedia and Intelligent Computing Lab

Paper: MIC_TJ at TRECVID 2014 (.pdf)

L. Wang, Y. Yi, B. Zhang, F. Zhu, B. Xiao, T. Sun, H. Wang -- Dept. of Computer Science and Technology, Tongji University, China

National Engineering Research Center for Multimedia Software of Wuhan University

Paper: WHU-NERCMS at TRECVID2014: Instance Search Task (.pdf)

M. Ye, B. Huang, L. Yao, J. Qin, J. Guan, X. Wang, B. Luo, Z. Wang, D. Liu, Z. Zhang, S. Mao, C. Liang -- National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China

National Institute of Informatics

Paper:National Institute of Informatics, Japan at TRECVID 2014 (.pdf)

D. Le, S. Phan, S. Kasamwattanarote, P. Sebastien, S. Satoh -- National Institute of Informatics, Japan

V. Nguyen -- University of Science, VNU-HCMC, Vietnam

C. Zhu -- Graduate School of Information Science, Nagoya University, Japan

D. M. Nguyen -- University of Engineering and Technology, VNU, Vietnam

T. D. Ngo, D. A. Duong -- University of Information Technology, VNU-HCMC, Vietnam

Slides: Enhancing Spatial Consistency Enforcement By Using DPM-based Object Localizer (.pdf)

D. Le, S. Satoh -- National Institute of Informatics, Japan (NII)

C. Zhu -- Nagoya University , Japan (NU)

T. V. Nguyen, T. D. Ngo, D. A. Duong -- VNU-HCMC - University of Information Technology, Vietnam (UIT-HCM)

D. M. Nguyen -- VNU University of Engineering and Technology, Vietnam (VNU-UET)

Poster: NII at TRECVID Instance Search 2014 (.pdf)

D. Le, V. Nguyen, C. Zhu, T. D. Ngo, D. M. Nguyen, S. Satoh, M. Tran, D. A. Duong

Poster: NII at TRECVID Multimedia Event Detection 2014 (.pdf)

S. Phan, D. Le, S. Satoh

NTT Communication Science Laboratories

Paper:NTT Communication Science Laboratories at TRECVID 2014 Instance Search Task (.pdf)

M. Murata, H. Nagano, K. Hiramatsu, T. Kawanishi, K. Kashino -- NTT Communication Science Laboratories (NTT CSL), NTT Corporation, Japan

Nagoya University

Paper:Nagoya University at TRECVID 2014: the Instance Search Task (.pdf)

C. Zhu, I. Ide, K. Takeda -- Nagoya University, Japan

Y. Zheng, S. Satoh -- National Institute of Informatics, Japan

Slides: Nagoya University at TRECVID 2014:the Instance Search Task (.pdf)

C. Zhu, I. Ide, K. Takeda -- Nagoya University, Japan

Y. Zheng, S. Satoh -- NII, Japan

ORAND S.A. Chile

Paper:ORAND at TRECVID 2014: Instance Search and Multimedia Event Detection (.pdf)

J. M. Barrios, J. M. Saavedra, F. Ramirez, D. Contreras -- ORAND S.A, Chile

Slides: ORAND team at Instance Search (.pdf)

J. M. Barrios, J. M. Saavedra, F. Ramirez, D. Contreras -- ORAND Research Center, Chile

Aalto University

Paper: PicSOM Experiments in TRECVID 2014 (.pdf)

S. Ishikawa, M. Koskela, M. Sjöberg, R. Anwer, J. Laaksonen, E. Oja -- Dept. of Information and Computer Science, Aalto University School of Science, Aalto, Finland

Slides: PicSOM Experiments in TRECVID 2014 Semantic Indexing Task (.pdf)

J. Laaksonen -- Aalto University School of Science, Finland

Peking University ICST

Paper:PKU-ICST at TRECVID 2014: Instance Search Task (.pdf)

Y. Peng, J. Zhang, P. Tang, L. Huang, X. Huang, X. He -- Institute of Computer Science and Technology, Peking University, China

LIG

Paper:LIG at TRECVid 2014: Semantic Indexing (.pdf)

B. Safadi, N. Derbas, A. Hamadi, M. Budnik, P. Mulhem, G. Quénot -- UJF-Grenoble 1, UPMF-Grenoble 2, Grenoble INP, CNRS, LIG UMR 5217, France

Slides: On the use of semantic features for the semantic indexing task (.pdf)

B. Safadi, N. Derbas, A. Hamadi, M. Budnik, P. Mulhem, Georges Quénot -- UJF-LIG

SRI International Sarnoff, UCF, UMass, Cyc

Paper:SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting (.pdf)

H. Cheng, J. Liu, I. Chakraborty, G. Chen, Q. Liu, M. Elhoseiny, G. Gan, A. Divakaran, H. S. Sawhney -- SRI-International Sarnoff, Vision Technologies Lab, USA

J. Allan, J. Foley -- University of Massachusetts-Amherst, MA, USA

M. Shah, A. Dehghan -- University of Central Florida, FL, USA

M. Witbrock, J. Curtis -- Cycorp Inc, USA

SRI International, University of Amsterdam, University of Southern California

Paper:The 2014 SESAME Multimedia Event Detection and Recounting System (.pdf)

R. C. Bolles, J. B. Burns, J. A. Herson, G. K. Myers, J. V. Hout, W. Wang, J. Wong, E. Yeh -- SRI International

A. Habibian, D. C. Koelma, T. Mensink, A. W.M. Smeulders, C. G.M. Snoek -- University of Amsterdam

R. Kovvuri, A. Aggarwal, K. Chen, P. Sharma, S. Cao, R. Nevatia -- University of Southern California

University of Sheffield, UK University of Engineering and Technology

Paper:THE UNIVERSITY OF SHEFFIELD AND UNIVERSITY OF ENGINEERING & TECHNOLOGY, LAHORE AT TECVID 2014: INSTANCE SEARCH TASK (.pdf)

S. Amanat, M. U. G. Khan, N. Nida -- Dept. of Computer Science & Engineering, UET Lahore, Pakistan

Y. Gotoh -- Dept. of Computer Science, University of Sheffield, UK

Telecom Italia

Paper:Telecom Italia at TRECVID2014 - Instance Search Task (.pdf)

L. Bertinetto, M. Balestri, S. Lepsøy, G. Francini -- Telecom Italia, Joint Open Lab VISIBLE

M. Bober -- Centre for Vision, Speech and Signal Processing, University of Surrey

University of Central Florida

Paper:UCF-CRCV at TRECVID 2014: Semantic Indexing (.pdf)

A. Dehghan, M. M. Kalayeh, Y. Zhang, H. Idrees, M. Shah -- Center for Research in Computer Vision, University of Central Florida

J. Liu, H. Cheng -- SRI International

Tokyo Institute of Technology

Paper:TokyoTech-Waseda at TRECVID 2014 (.pdf)

N. Inoue, Z. Liang, M. Lin, T. Hai, K. Shinoda -- Tokyo Institute of Technology

Z. Xuefeng, K. Ueki -- Waseda University

Slides: Semantic Indexing Using Deep CNNs and GMM Supervectors (.pdf)

N. Inoue, K. Shinoda -- Tokyo Institute of Technology

Z. Xuefeng, K. Ueki -- Waseda University

Poster: TokyoTech-Waseda at TRECVID 2014: Semantic Indexing Using Deep CNN and GMM Supervectors (.pdf)

N. Inoue, K. Shinoda -- Tokyo Institute of Technology

Z. Xuefeng, K, Ueki -- Waseda University

Technische UniversitÄt Chemnitz

Paper:Technische Universität Chemnitz at TRECVID Instance Search 2014 (.pdf)

M. Ritter, D. Richter, R. Manthey -- Junior Professorship Media Computing

M. Heinzig, R. Herms, S. Kahl, M. Eibl -- Chair Media Informatics at Technische UniversitÄt Chemnitz, Germany

Poster: Technische Universität Chemnitz at TRECVID Instance Search 2014 (.pdf)

M. Ritter, M. Heinzig, R. Herms, S. Kahl, D. Richter, R. Manthey, M. Eibl -- Junior Professorship Media Computing & Chair Media Informatics

Yanai Lab, Department of Informatics, The University of Electro-Communiacations, Tokyo

Paper:UEC at TRECVID 2014 SIN task (.pdf)

K. Yanai, H. Harada, D. H. Nga -- Dept. of Informatics, The University of Electro-Communications, Japan

City University of Hong Kong, Netherlands Organization for Applied Scientific Research (TNO)

Paper:VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER) (.pdf)

C. Ngo, Y. Lu, H. Zhang, T. Yao, C. Tan, C. Tan, L. Pang -- Video Retrieval Group (VIREO), City University of Hong Kong

M. Boer, J. Schavemaker, K. Schutte, W. Kraaij -- Netherlands Organization for Applied Scientific Research (TNO), Netherlands

Slides: VIREO-TNO @ TRECVID 2014 Zero-Shot Event Detection and Recounting (.pdf)

M. de Boer -- TNO

Y. Lu, H. Zhang,C. Ngo -- VIREO Group, City University of Hong Kong, Hong Kong

M. Boer, J. Schavemaker, K. Schutte, W. Kraaij -- Netherlands Organization for Applied Scientific Research (TNO), Netherlands

Poster: Query Expansion in Complex Event Detection with Zero Examples (.pdf)

M. de Boer, K. Schutte -- Dept. of Intelligent Imaging, TNO, The Netherlands

W. Kraaij -- Institute for Computing and Information Science, Radboud University Nijmegen, The Netherlands

Paper:VIREO @ TRECVID 2014: Instance Search and Semantic Indexing (.pdf)

W. Zhang, H. Zhang, T. Yao, Y. Lu, J. Chen, C. Ngo -- Video Retrieval Group (VIREO), City University of Hong Kong

TREC Video Retrieval Evaluation

Partial bibliography of peer-reviewed journal and conference papers

based on TRECVID resources

(comprising mainly work publicly accessible work via the ACM Digital

Library and IEEE Explorer)


Amjad Altadmri and Amr Ahmed. 2014. A framework for automatic semantic

video annotation. Multimedia Tools Appl. 72, 2 (September 2014),

1167-1191. DOI=10.1007/s11042-013-1363-6

http://dx.doi.org/10.1007/s11042-013-1363-6

Amid, E.; Mesaros, A.; Palomaki, K.J.; Laaksonen, J.; Kurimo, M.,

"Unsupervised feature extraction for multimedia event detection and

ranking using audio content," Acoustics, Speech and Signal Processing

(ICASSP), 2014 IEEE International Conference on , vol., no.,

pp.5939,5943, 4-9 May 2014 doi: 10.1109/ICASSP.2014.6854743 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6854743&isnumber=6853544

Bhattacharya, Subhabrata; Kalayeh, Mahdi M.; Sukthankar, Rahul; Shah,

Mubarak, "Recognition of Complex Events: Exploiting Temporal Dynamics

between Underlying Concepts," Computer Vision and Pattern Recognition

(CVPR), 2014 IEEE Conference on , vol., no., pp.2243,2250, 23-28 June

2014 doi: 10.1109/CVPR.2014.287, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909684&isnumber=6909393

Bhattacharya, S.; Mehran, R.; Sukthankar, R.; Shah, M.,

"Classification of Cinematographic Shots Using Lie Algebra and its

Application to Complex Event Recognition," Multimedia, IEEE

Transactions on , vol.16, no.3, pp.686,696, April 2014 doi:

10.1109/TMM.2014.2300833, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6714427&isnumber=6766693

Subhabrata Bhattacharya, Felix X. Yu, and Shih-Fu

Chang. 2014. Minimally Needed Evidence for Complex Event Recognition

in Unconstrained Videos. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 105 ,

8 pages. DOI=10.1145/2578726.2578740

http://doi.acm.org/10.1145/2578726.2578740

Ethem F. Can and R. Manmatha. 2014. Modeling Concept Dependencies for

Event Detection. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 289 ,

8 pages. DOI=10.1145/2578726.2578763

http://doi.acm.org/10.1145/2578726.2578763

Ning Chen; Jun Zhu; Fuchun Sun; Bo Zhang, "Learning Harmonium Models

With Infinite Latent Features," Neural Networks and Learning Systems,

IEEE Transactions on , vol.25, no.3, pp.520,532, March 2014 doi:

10.1109/TNNLS.2013.2276398, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6741394&isnumber=6740874

Jiawei Chen, Yin Cui, Guangnan Ye, Dong Liu, and Shih-Fu

Chang. 2014. Event-Driven Semantic Concept Discovery by Exploiting

Weakly Tagged Internet Images. In Proceedings of International

Conference on Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA,

, Pages 1 , 8 pages. DOI=10.1145/2578726.2578729

http://doi.acm.org/10.1145/2578726.2578729

Yu Cheng; Brown, L.; Fan, Q.; Feris, R.; Pankanti, S.; Tao Zhang,

"RiskWheel: Interactive visual analytics for surveillance event

detection," Multimedia and Expo (ICME), 2014 IEEE International

Conference on , vol., no., pp.1,6, 14-18 July 2014 doi:

10.1109/ICME.2014.6890286, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890286&isnumber=6890121

Ozgun Cirakman, Bilge Gunsel, Neslihan Serap Sengor, and Sezer

Kutluk. 2014. Content-based copy detection by a subspace learning

based video fingerprinting scheme. Multimedia Tools Appl. 71, 3

(August 2014), 1381-1409. DOI=10.1007/s11042-012-1269-8

http://dx.doi.org/10.1007/s11042-012-1269-8

Dang, C.T.; Radha, H., "Heterogeneity Image Patch Index and Its

Application to Consumer Video Summarization," Image Processing, IEEE

Transactions on , vol.23, no.6, pp.2704,2718, June 2014 doi:

10.1109/TIP.2014.2320814 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6807803&isnumber=6807541

Dehghan, Afshin; Idrees, Haroon; Shah, Mubarak, "Improving Semantic

Concept Detection through the Dictionary of Visually-Distinct

Elements," Computer Vision and Pattern Recognition (CVPR), 2014 IEEE

Conference on , vol., no., pp.2585,2592, 23-28 June 2014 doi:

10.1109/CVPR.2014.331 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909727&isnumber=6909393

David Etter and Carlotta Domeniconi. 2014. Semi-Supervised Rank

Learning for Multimedia Known-Item Search. In Proceedings of

International Conference on Multimedia Retrieval (ICMR '14). ACM, New

York, NY, USA, , Pages 257 , 8 pages. DOI=10.1145/2578726.2578759

http://doi.acm.org/10.1145/2578726.2578759

Guangyu Gao and Huadong Ma. 2014. To accelerate shot boundary

detection by reducing detection region and scope. Multimedia Tools

Appl. 71, 3 (August 2014), 1749-1770. DOI=10.1007/s11042-012-1301-z

http://dx.doi.org/10.1007/s11042-012-1301-z

Zan Gao, Long-Fei Zhang, Ming-Yu Chen, Alexander Hauptmann, Hua Zhang,

and An-Ni Cai. 2014. Enhanced and hierarchical structure algorithm for

data imbalance problem in semantic extraction under massive video

dataset. Multimedia Tools Appl. 68, 3 (February 2014),

641-657. DOI=10.1007/s11042-012-1071-7

http://dx.doi.org/10.1007/s11042-012-1071-7

Nikolaos Gkalelis and Vasileios Mezaris. 2014. Video event detection

using generalized subclass discriminant analysis and linear support

vector machines. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 25 ,

8 pages. DOI=10.1145/2578726.2578745

http://doi.acm.org/10.1145/2578726.2578745

Amirhossein Habibian, Masoud Mazloom, and Cees

G. M. Snoek. 2014. On-the-Fly Video Event Search by Semantic

Signatures. In Proceedings of International Conference on Multimedia

Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 518 , 3

pages. DOI=10.1145/2578726.2582615

http://doi.acm.org/10.1145/2578726.2582615

Amirhossein Habibian, Thomas Mensink, and Cees

G. M. Snoek. 2014. Composite Concept Discovery for Zero-Shot Video

Event Detection. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 17 ,

8 pages. DOI=10.1145/2578726.2578746

http://doi.acm.org/10.1145/2578726.2578746

Amirhossein Habibian, Thomas Mensink, and Cees G. M. Snoek,

"VideoStory: A New Multimedia Embedding for Few-Example Recognition

and Translation of Events," in Proceedings of the ACM International

Conference on Multimedia, Orlando, Florida, USA, 2014, pp. 17-26.

Amirhossein Habibian and Cees G. M. Snoek, "Recommendations for

Recognizing Video Events by Concept Vocabularies," Computer Vision and

Image Understanding, vol. 124, pp. 110-122, 2014.

Amirhossein Habibian and Cees G. M. Snoek. 2014. Stop-Frame Removal

Improves Web Video Classification. In Proceedings of International

Conference on Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA,

, Pages 499 , 4 pages. DOI=10.1145/2578726.2578803

http://doi.acm.org/10.1145/2578726.2578803

Abdelkader Hamadi, Philippe Mulhem, and Georges

Quénot. 2014. Infrequent concept pairs detection in multimedia

documents. In Proceedings of International Conference on Multimedia

Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 435 , 4

pages. DOI=10.1145/2578726.2578787

http://doi.acm.org/10.1145/2578726.2578787

Junwei Han, Xiang Ji, Xintao Hu, Jungong Han, and Tianming

Liu. 2014. Clustering and retrieval of video shots based on natural

stimulus fMRI. Neurocomput. 144 (November 2014),

128-137. DOI=10.1016/j.neucom.2013.11.052

http://dx.doi.org/10.1016/j.neucom.2013.11.052

Junwei Han, Kaiming Li, Ling Shao, Xintao Hu, Sheng He, Lei Guo,

Jungong Han, and Tianming Liu. 2014. Video abstraction based on

fMRI-driven visual attention model. Inf. Sci. 281 (October 2014),

781-796. DOI=10.1016/j.ins.2013.12.039

http://dx.doi.org/10.1016/j.ins.2013.12.039

Nakamasa Inoue and Koichi Shinoda, "n-Gram Models for Video Semantic

Indexing," Proc. ACM Multimedia, pp. 777-780, 2014.

Jain, A.; Xujun Peng; Xiaodan Zhuang; Natarajan, P.; Huaigu Cao, "Text

detection and recognition in natural scenes and consumer videos,"

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE

International Conference on , vol., no., pp.1245,1249, 4-9 May 2014

doi: 10.1109/ICASSP.2014.6853796, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853796&isnumber=6853544

Lu Jiang, Teruko Mitamura, Shoou-I Yu, and Alexander

G. Hauptmann. 2014. Zero-Example Event Search using MultiModal Pseudo

Relevance Feedback. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 297 ,

8 pages. DOI=10.1145/2578726.2578764

http://doi.acm.org/10.1145/2578726.2578764

Lu Jiang, Wei Tong, Deyu Meng, and Alexander

G. Hauptmann. 2014. Towards Efficient Learning of Optimal Spatial

Bag-of-Words Representations. In Proceedings of International

Conference on Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA,

, Pages 121 , 8 pages. DOI=10.1145/2578726.2578739

http://doi.acm.org/10.1145/2578726.2578739

I-Hong Jhuo, Guangnan Ye, Shenghua Gao, Dong Liu, Yu-Gang Jiang,

D. T. Lee, and Shih-Fu Chang. 2014. Discovering joint audio---visual

codewords for video event detection. Mach. Vision Appl. 25, 1 (January

2014), 33-47. DOI=10.1007/s00138-013-0567-0

http://dx.doi.org/10.1007/s00138-013-0567-0

Ilseo Kim and Chin-Hui Lee. 2014. An Efficient Gradient-based Approach

to Optimizing Average Precision Through Maximal Figure-of-Merit

Learning. J. Signal Process. Syst. 74, 3 (March 2014),

285-295. DOI=10.1007/s11265-013-0748-0

http://dx.doi.org/10.1007/s11265-013-0748-0

Semin Kim, Jae Young Choi, Seungwan Han, and Yong Man

Ro. 2014. Adaptive weighted fusion with new spatial and temporal

fingerprints for improved video copy detection. Image Commun. 29, 7

(August 2014), 788-806. DOI=10.1016/j.image.2014.05.002

http://dx.doi.org/10.1016/j.image.2014.05.002

Svetlana Kordumova, Christoph Kofler, Dennis C. Koelma, Bouke

Huurnink, Bauke Freiburg, Joris Kleinveld, Manuel van Rijn, Marco van

Deursen, Martha Larson, and Cees G. M. Snoek. 2014. SocialZap:

Catch-up on Interesting Television Fragments Discovered from Social

Media. In Proceedings of International Conference on Multimedia

Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 538 , 3

pages. DOI=10.1145/2578726.2582622

http://doi.acm.org/10.1145/2578726.2582622

Zhen-Zhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, and Alexander

G. Hauptmann. 2014. Multimedia classification and event detection

using double fusion. Multimedia Tools Appl. 71, 1 (July 2014),

333-347. DOI=10.1007/s11042-013-1391-2

http://dx.doi.org/10.1007/s11042-013-1391-2

Gaowen Liu, Yan Yan, Chenqiang Gao, Wei Tong, Alexander Hauptmann, and

Nicu Sebe. 2014. The Mystery of Faces: Investigating Face Contribution

for Multimedia Event Detection. In Proceedings of International

Conference on Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA,

, Pages 467 , 4 pages. DOI=10.1145/2578726.2578795

http://doi.acm.org/10.1145/2578726.2578795

Tianming Liu; Xintao Hu; Xiaojin Li; Mo Chen; Junwei Han; Lei Guo,

"Merging Neuroimaging and Multimedia: Methods, Opportunities, and

Challenges," Human-Machine Systems, IEEE Transactions on , vol.44,

no.2, pp.270,280, April 2014 doi: 10.1109/THMS.2013.2296871, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6742574&isnumber=6766254

Xianglong Liu, Junfeng He, and Bo Lang. 2014. Multiple feature kernel

hashing for large-scale visual search. Pattern Recogn. 47, 2 (February

2014), 748-757. DOI=10.1016/j.patcog.2013.08.022

http://dx.doi.org/10.1016/j.patcog.2013.08.022

Zhigang Ma; Yi Yang; Sebe, N.; Hauptmann, A.G., "Knowledge Adaptation

with PartiallyShared Features for Event DetectionUsing Few Exemplars,"

Pattern Analysis and Machine Intelligence, IEEE Transactions on ,

vol.36, no.9, pp.1789,1802, Sept. 2014 doi: 10.1109/TPAMI.2014.2306419

URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6740842&isnumber=6868318

Masoud Mazloom, Efstrastios Gavves, and Cees G. M. Snoek,

"Conceptlets: Selective Semantics for Classifying Video Events," IEEE

Transactions on Multimedia, vol. 16, iss. 8, pp. 2214-2228, 2014.

Masoud Mazloom, Xirong Li, and Cees G. M. Snoek. 2014. Few-Example

Video Event Retrieval using Tag Propagation. In Proceedings of

International Conference on Multimedia Retrieval (ICMR '14). ACM, New

York, NY, USA, , Pages 459 , 4 pages. DOI=10.1145/2578726.2578793

http://doi.acm.org/10.1145/2578726.2578793

Scott McCloskey and Jingchen Liu. 2014. Metadata-Weighted Score Fusion

for Multimedia Event Detection. In Proceedings of the 2014 Canadian

Conference on Computer and Robot Vision (CRV '14). IEEE Computer

Society, Washington, DC, USA, 299-305. DOI=10.1109/CRV.2014.47

http://dx.doi.org/10.1109/CRV.2014.47

Tao Mei, Yong Rui, Shipeng Li, and Qi Tian. 2014. Multimedia search

reranking: A literature survey. ACM Comput. Surv. 46, 3, Article 38

(January 2014), 38 pages. DOI=10.1145/2536798

http://doi.acm.org/10.1145/2536798

Tao Meng, Yang Liu, Mei-Ling Shyu, Yilin Yan, and Chi-Min

Shu. 2014. Enhancing Multimedia Semantic Concept Mining and Retrieval

by Incorporating Negative Correlations. In Proceedings of the 2014

IEEE International Conference on Semantic Computing (ICSC '14). IEEE

Computer Society, Washington, DC, USA, 28-35. DOI=10.1109/ICSC.2014.30

http://dx.doi.org/10.1109/ICSC.2014.30

Merialdo, B.; Niaz, U., "Uploader models for video concept detection,"

Content-Based Multimedia Indexing (CBMI), 2014 12th International

Workshop on , vol., no., pp.1,4, 18-20 June 2014 doi:

10.1109/CBMI.2014.6849847, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6849847&isnumber=6849811

Metze, F.; Rawat, S.; Yipei Wang, "Improved audio features for

large-scale multimedia event detection," Multimedia and Expo (ICME),

2014 IEEE International Conference on , vol., no., pp.1,6, 14-18 July

2014 doi: 10.1109/ICME.2014.6890234 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890234&isnumber=6890121

Murata, M.; Nagano, H.; Mukai, R.; Kashino, K.; Satoh, S., "BM25 With

Exponential IDF for Instance Search," Multimedia, IEEE Transactions on

, vol.16, no.6, pp.1690,1699, Oct. 2014 doi: 10.1109/TMM.2014.2323945

URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6820744&isnumber=6898894

Gregory K. Myers, Ramesh Nallapati, Julien Hout, Stephanie Pancoast,

Ramakant Nevatia, Chen Sun, Amirhossein Habibian, Dennis C. Koelma,

Koen E. Sande, Arnold W. Smeulders, and Cees

G. Snoek. 2014. Evaluating multimedia features and fusion for

example-based event detection. Mach. Vision Appl. 25, 1 (January

2014), 17-32. DOI=10.1007/s00138-013-0527-8

http://dx.doi.org/10.1007/s00138-013-0527-8

Niaz, U.; Merialdo, B., "Improving video concept detection through

label space partitioning," Multimedia and Expo (ICME), 2014 IEEE

International Conference on , vol., no., pp.1,6, 14-18 July 2014 doi:

10.1109/ICME.2014.6890258, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890258&isnumber=6890121

Usman Niaz and Bernard Merialdo. 2014. Selective Multi-cotraining for

Video Concept Detection. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 443 ,

4 pages. DOI=10.1145/2578726.2578789

http://doi.acm.org/10.1145/2578726.2578789

Sangmin Oh, Scott Mccloskey, Ilseo Kim, Arash Vahdat, Kevin

J. Cannons, Hossein Hajimirsadeghi, Greg Mori, A. G. Perera, Megha

Pandey, and Jason J. Corso. 2014. Multimedia event detection with

multimodal feature fusion and temporal concept

localization. Mach. Vision Appl. 25, 1 (January 2014),

49-69. DOI=10.1007/s00138-013-0525-x

http://dx.doi.org/10.1007/s00138-013-0525-x

Ouali, C.; Dumouchel, P.; Gupta, V., "A robust audio fingerprinting

method for content-based copy detection," Content-Based Multimedia

Indexing (CBMI), 2014 12th International Workshop on , vol., no.,

pp.1,6, 18-20 June 2014 doi: 10.1109/CBMI.2014.6849814, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6849814&isnumber=6849811

Sang Phan, Thanh Duc Ngo, Vu Lam, Son Tran, Duy-Dinh Le, Duc Anh

Duong, and Shin'ichi Satoh. 2014. Multimedia Event Detection Using

Segment-Based Approach for Motion Feature. J. Signal

Process. Syst. 74, 1 (January 2014),

19-31. DOI=10.1007/s11265-013-0825-4

http://dx.doi.org/10.1007/s11265-013-0825-4

Trung Quy Phan; Shivakumara, P.; Bhowmick, S.; Shimiao Li; Chew Lim

Tan; Pal, U., "Semiautomatic Ground Truth Generation for Text

Detection and Recognition in Video Images," Circuits and Systems for

Video Technology, IEEE Transactions on , vol.24, no.8, pp.1277,1287,

Aug. 2014 doi: 10.1109/TCSVT.2014.2305515, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6739120&isnumber=6869080

G.G. Lakshmi Priya and S. Domnic. 2014. Shot boundary-based keyframe

extraction for video summarisation. Int. J. Comput. Intell. Stud. 3,

2/3 (June 2014), 157-175. DOI=10.1504/IJCISTUDIES.2014.062728

http://dx.doi.org/10.1504/IJCISTUDIES.2014.062728

Mengren Qian; Luntian Mou; Jia Li; Yonghong Tian, "Video

picture-in-picture detection using spatio-temporal slicing,"

Multimedia and Expo Workshops (ICMEW), 2014 IEEE International

Conference on , vol., no., pp.1,6, 14-18 July 2014 doi:

10.1109/ICMEW.2014.6890580 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890580&isnumber=6890528

Xueming Qian, Danping Guo, Xingsong Hou, Zhi Li, Huan Wang, Guizhong

Liu, and Zhe Wang. 2014. HWVP: hierarchical wavelet packet descriptors

and their applications in scene categorization and semantic concept

retrieval. Multimedia Tools Appl. 69, 3 (April 2014),

897-920. DOI=10.1007/s11042-012-1151-8

http://dx.doi.org/10.1007/s11042-012-1151-8

J. Rest, F. A. Grootjen, M. Grootjen, R. Wijn, O. Aarts,

M. L. Roelofs, G. J. Burghouts, H. Bouma, L. Alic, and

W. Kraaij. 2014. Requirements for multimedia metadata schemes in

surveillance applications for security. Multimedia Tools Appl. 70, 1

(May 2014), 573-598. DOI=10.1007/s11042-013-1575-9

http://dx.doi.org/10.1007/s11042-013-1575-9

C. Okan Sakar, Olcay Kursun, and Fikret Gurgen. 2014. Ensemble

canonical correlation analysis. Applied Intelligence 40, 2 (March

2014), 291-304. DOI=10.1007/s10489-013-0464-2

http://dx.doi.org/10.1007/s10489-013-0464-2

Yuan Shen; Zhenjiang Miao, "Multihuman Tracking Based on a

Spatial–Temporal Appearance Match," Circuits and Systems for Video

Technology, IEEE Transactions on , vol.24, no.3, pp.361,373, March

2014 doi: 10.1109/TCSVT.2013.2280073, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587854&isnumber=6754192

Kimiaki Shirahama, Marcin Grzegorzek, and Kuniaki

Uehara. 2014. Multimedia Event Detection Using Hidden Conditional

Random Fields. In Proceedings of International Conference on

Multimedia Retrieval (ICMR '14). ACM, New York, NY, USA, , Pages 9 , 8

pages. DOI=10.1145/2578726.2578742

http://doi.acm.org/10.1145/2578726.2578742

Kimiaki Shirahama, Yuta Matsuoka, and Kuniaki Uehara. 2014. Hybrid

negative example selection using visual and conceptual

features. Multimedia Tools Appl. 71, 3 (August 2014),

967-989. DOI=10.1007/s11042-011-0886-y

http://dx.doi.org/10.1007/s11042-011-0886-y

Sidiropoulos, P.; Mezaris, V.; Kompatsiaris, I., "Video Tomographs and

a Base Detector Selection Strategy for Improving Large-Scale Video

Concept Detection," Circuits and Systems for Video Technology, IEEE

Transactions on , vol.24, no.7, pp.1251,1264, July 2014 doi:

10.1109/TCSVT.2014.2302554 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6727470&isnumber=6846390

Sjoberg, M.; Laaksonen, J., "Using semantic features to improve

large-scale visual concept detection," Content-Based Multimedia

Indexing (CBMI), 2014 12th International Workshop on , vol., no.,

pp.1,6, 18-20 June 2014 doi: 10.1109/CBMI.2014.6849817, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6849817&isnumber=6849811

Sabin Tiberius Strat, Alexandre Benoit, Patrick Lambert, and Alice

Caplier. 2014. Retina enhanced SURF descriptors for spatio-temporal

concept detection. Multimedia Tools Appl. 69, 2 (March 2014),

443-469. DOI=10.1007/s11042-012-1280-0

http://dx.doi.org/10.1007/s11042-012-1280-0

Sun, Chen; Nevatia, Ram, "DISCOVER: Discovering Important Segments for

Classification of Video Events and Recounting," Computer Vision and

Pattern Recognition (CVPR), 2014 IEEE Conference on , vol., no.,

pp.2569,2576, 23-28 June 2014 doi: 10.1109/CVPR.2014.329 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909725&isnumber=6909393

Chen Sun, Brian Burns, Ram Nevatia, Cees Snoek, Bob Bolles, Greg

Myers, Wen Wang, and Eric Yeh. 2014. ISOMER: Informative Segment

Observations for Multimedia Event Recounting. In Proceedings of

International Conference on Multimedia Retrieval (ICMR '14). ACM, New

York, NY, USA, , Pages 241 , 8 pages. DOI=10.1145/2578726.2578757

http://doi.acm.org/10.1145/2578726.2578757

Fuming Sun; Jinhui Tang; Haojie Li; Guo-Jun Qi; Huang, T.S.,

"Multi-Label Image Categorization With Sparse Factor Representation,"

Image Processing, IEEE Transactions on , vol.23, no.3, pp.1028,1037,

March 2014 doi: 10.1109/TIP.2014.2298978, URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6705666&isnumber=6717077

Jinhui Tang and Xian-Sheng Hua. 2014. Typicality ranking: beyond

accuracy for video semantic annotation. Multimedia Tools Appl. 70, 2

(May 2014), 647-660. DOI=10.1007/s11042-011-0892-0

http://dx.doi.org/10.1007/s11042-011-0892-0

Ran Tao, Efstratios Gavves, Cees G. M. Snoek, and Arnold

W. M. Smeulders, "Locality in Generic Instance Search from One

Example," in Proceedings of the IEEE Conference on Computer Vision and

Pattern Recognition, Columbus, Ohio, USA, 2014.

Wei Tong, Yi Yang, Lu Jiang, Shoou-I Yu, Zhenzhong Lan, Zhigang Ma,

Waito Sze, Ehsan Younessian, and Alexander G. Hauptmann. 2014. E-LAMP:

integration of innovative ideas for multimedia event

detection. Mach. Vision Appl. 25, 1 (January 2014),

5-15. DOI=10.1007/s00138-013-0529-6

http://dx.doi.org/10.1007/s00138-013-0529-6

Trichet, R.; Nevatia, R., "Video segmentation and feature

co-occurrences for activity classification," Applications of Computer

Vision (WACV), 2014 IEEE Winter Conference on , vol., no., pp.385,392,

24-26 March 2014 doi: 10.1109/WACV.2014.6836074 URL:

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836074&isnumber=6835728

Chun-Yu Tsai, Michelle L. Alexander, Nnenna Okwara, and John

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