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Sports Videos in the Wild (SVW): A video dataset for sports analysis

Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa, Brooks Andrus, John Wood, Dean Craven
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
Considering the enormous creation rate of usergenerated videos on websites like YouTube, there is an immediate need for automatic categorization, recognition and analysis of videos.  ...  On the sport genre categorization problem, we design the evaluation protocol and evaluate three different methods to provide baselines for future works.  ...  Genre categorization: Sports genre categorization is vastly studied for broadcasting TV videos [27] , [28] , [29] , [30] , [31] , [32] .  ... 
doi:10.1109/fg.2015.7163105 dblp:conf/fgr/SafdarnejadLUAW15 fatcat:4ecfx7tyd5b4dcriw6rnqbvdnu

Sports video categorizing method using camera motion parameters

S. Takagi, S. Hattori, K. Yokoyama, A. Kodate, H. Tominaga
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
Camera motion parameters in the video sequence contain very significant information for categorization of broadcasted sports video, because in most of sports video, camera motions are closely related to  ...  In this paper, we propose a content based video categorizing method focusing broadcasted sports videos using camera motion parameters.  ...  Then the 4th part discusses statistical analysis method for broadcasted sports video and the experimental results for sports genre identification.  ... 
doi:10.1109/icme.2003.1221653 dblp:conf/icmcs/TakagiHYKT03 fatcat:f2djrcoyybf7ho7edjcivvz4ue


Saju Mohanan
2017 International journal of advances in signal and image sciences  
In this study, the sports video categorization for five categories of sports like football, cricket, volleyball, tennis and basketball is presented.  ...  The sports video categorization system uses Higher Order Spectra Features (HOSF) for the feature extraction from video frames and multiclass Support Vector Machine (SVM) classifier for the classification  ...  Automatic sports video genre categorization is discussed in [5] . At first, the videos are significantly chosen by the key-frame clustering.  ... 
doi:10.29284/ijasis.3.2.2017.27-33 fatcat:e7l5tuglwje5fpg4ieik34dobq

Genre categorization of amateur sports videos in the wild

Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa
2014 2014 IEEE International Conference on Image Processing (ICIP)  
Various sports video genre categorization methods are proposed recently, mainly focusing on professional sports videos captured for TV broadcasting.  ...  Experiments on a newly collected dataset of amateur sports videos in the wild demonstrate that our trajectory descriptor is superior for sports videos categorization and temporal analysis improves the  ...  Automatic indexing and genre categorization of sports videos, as a large portion of digital contents, is of significance and enables domain-specific analysis of sports videos [1] .  ... 
doi:10.1109/icip.2014.7025201 dblp:conf/icip/SafdarnejadLU14 fatcat:owoui2dotbbsvdi7p3xvikgxby

Automatic Video Genre Detection for Content-Based Authoring [chapter]

Sung Ho Jin, Tae Meon Bae, Yong Man Ro
2004 Lecture Notes in Computer Science  
Experimental results show that the proposed method is useful to detect video genre automatically with a high detection rate.  ...  In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features.  ...  Automatic video genre detection is known to be useful for authoring, retrieving or categorizing video contents from enormous video database.  ... 
doi:10.1007/978-3-540-30541-5_42 fatcat:ltksjchz55gc7d3zz3tmu5qydu

A Survey on Video Content Analysis

Yamini Gupta
In this paper, we have included various algorithms to understand how each of the above steps is applied in analyzing of any of the sports video.  ...  Finally we cluster these divisions and arrange them in a table of contents for users to browse and retrieve the video part they require.  ...  The goal of genre classification is to automatically classify TV broadcast into predetermined genres like commercials, news, sport, etc.  ... 
doi:10.26472/ijrae.v1i2.23 fatcat:3bwmgwvgevamhml4byzn3u6il4

Content-based intelligent video recorder with its implementation on sports video

Shuqiang Jiang, Qingming Huang, Zhao Zhao
2011 Proceedings of the Third International Conference on Internet Multimedia Computing and Service - ICIMCS '11  
This paper analyzes the users' requirements to the digital video recorder and proposes a three level framework for the Intelligent Video Recorder (IVR) based on the widely researched semantic video analysis  ...  In addition, we explain how to achieve these functions via an implementation on sports videos.  ...  To implement the system, we need to have the following techniques: (1) The Techniques for Video Genres Categorizing With the technique of video genres categorizing of, IVR can perceive the content of  ... 
doi:10.1145/2043674.2043730 dblp:conf/icimcs/JiangHZ11 fatcat:3kmq6ai6qvfebmjhp2u32e37si

A Survey of Content-Aware Video Analysis for Sports

Huang-Chia Shih
2018 IEEE transactions on circuits and systems for video technology (Print)  
We believe that our findings can advance the field of research on content-aware video analysis for broadcast sports.  ...  Finally, the paper summarizes the future trends and challenges for sports video analysis.  ...  [231] proposed a method for automatically generating both dynamic and static video abstracts from broadcast sports videos.  ... 
doi:10.1109/tcsvt.2017.2655624 fatcat:rwqzu46sgfb7tpkcav4ysmh6ae

Genre-specific semantic video indexing

Jun Wu, Marcel Worring
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
increases about 2 to 10 times for different video genres.  ...  Genre specific models are trained based on a training set with data labelled at video level for genres and at shot level for semantic concepts.  ...  For example, popular video genres are news broadcast, home-video, advertisement, music, sports, and movies.  ... 
doi:10.1145/1816041.1816081 dblp:conf/civr/WuW10 fatcat:spczt5ox5bgeppe4dr7udy56t4

Content-Based Video Description for Automatic Video Genre Categorization [chapter]

Bogdan Ionescu, Klaus Seyerlehner, Christoph Rasche, Constantin Vertan, Patrick Lambert
2012 Lecture Notes in Computer Science  
In this paper, we propose an audio-visual approach to video genre categorization. Audio information is extracted at block-level, which has the advantage of capturing local temporal information.  ...  An extensive evaluation of this multi-modal approach based on on more than 91 hours of video footage is presented.  ...  The highest precision for video footage categorization is around 88.6%, while for sub-genres, sports categorization achieve 97% and movies up to 81.3%.  ... 
doi:10.1007/978-3-642-27355-1_8 fatcat:pq6xslvmi5ffpidqq2k7br6vci

A Generic Approach for Systematic Analysis of Sports Videos

Ning Zhang, Ling-Yu Duan, Lingfang Li, Qingming Huang, Jun Du, Wen Gao, Ling Guan
2012 ACM Transactions on Intelligent Systems and Technology  
This article extends the previous work by the authors appearing under the title "Automatic sports genre categorization and view-type classification over large-scale dataset," ].  ...  From experimental results, k-NN classifier using KL-divergence measurement demonstrates the best accuracy at 82.16% for genre categorization.  ...  In that work, a two-layer top-down structure is used for sports genre categorization.  ... 
doi:10.1145/2168752.2168760 fatcat:oxqszt2dxzcdfa44tlapet3kje

An in-depth evaluation of multimodal video genre categorization

Ionut Mironica, Bogdan Ionescu, Peter Knees, Patrick Lambert
2013 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)  
In this paper we propose an in-depth evaluation of the performance of video descriptors to multimodal video genre categorization.  ...  Evaluation is carried out in the context of the 2012 Video Genre Tagging Task of the MediaEval Benchmarking Initiative for Multimedia Evaluation, using a data set of up to 15.000 videos (3,200 hours of  ...  Finally, we acknowledge the 2012 Genre Tagging Task of the MediaEval Multimedia Benchmark for the data set (  ... 
doi:10.1109/cbmi.2013.6576545 dblp:conf/cbmi/MironicaIKL13 fatcat:q2xee55uzvhlxpzvlwjvwe3obu

Audio-Video Based Segmentation and Classification using AANN

K. Subashini, S. Palanivel, V. Ramaligam
2012 International Journal of Computer Applications Technology and Research  
Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data.  ...  Experimental results of audio classification and video segmentation and classification results are combined using weighted sum rule for audio-video based classification.  ...  At the highest level of hierarchy, video database can be categorized into different genres such as cartoon, sports, commercials, news and music and are discussed in [13] , [14] , and [15] .  ... 
doi:10.7753/ijcat0102.1003 fatcat:uusmr533abdgbbpxarzww4tla4

Automatic Web Video Categorization Using Audio-Visual Information And Hierarchical Clustering Rf

Bogdan Ionescu, P. Lambert, Ionut Mironica, Klaus Seyerlehner, C. Vertan
2012 Zenodo  
It addressed a real-world scenario -the automatic categorization of web videos from  ...  In this paper we approach a specific global categorization problem: tagging videos according to genre.  ... 
doi:10.5281/zenodo.52534 fatcat:r6djzbxt35huxoscqmr5qcjflu

A visual-based late-fusion framework for video genre classification

Ionut Mironica, Bogdan Ionescu, Christoph Rasche, Patrick Lambert
2013 International Symposium on Signals, Circuits and Systems ISSCS2013  
In this paper we investigate the performance of visual features in the context of video genre classification.  ...  Experimental validation was carried out in the context of the MediaEval 2012 Genre Tagging Task using a large data set of more than 2,000 hours of footage and 26 video genres.  ...  Finally, we acknowledge the 2012 Genre Tagging Task of the MediaEval Multimedia Benchmark for the data set (  ... 
doi:10.1109/isscs.2013.6651188 fatcat:wtaen6rmjzeozos4oklpbjp4vq
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