Fundamentals of speech recognition
Fundamentals of speech recognition
Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Color Indexing Using Wavelet-Based Salient Points
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
A Novel Motion-Based Active Video Indexing Method
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Content-Based Indexing of Image and Video Databases by Global and Shape Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Video Shot Segmentation and Classification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
An Audio-Based Sports Video Segmentation and Event Detection Algorithm
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Creating audio keywords for event detection in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
A fusion scheme of visual and auditory modalities for event detection in sports video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Time interval maximum entropy based event indexing in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Integrated Image and Speech Analysis for Content-Based Video Indexing
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
Deep networks for audio event classification in soccer videos
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Affective content analysis by mid-level representation in multiple modalities
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Video PowerSearcher: a text-based indexing e-learning system
Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications
Structuring sport video through audio event classification
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Fusing audio vocabulary with visual features for pornographic video detection
Future Generation Computer Systems
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Sports video has attracted a global viewership. Research effort in this area has been focused on semantic event detection in sports video to facilitate accessing and browsing. Most of the event detection methods in sports video are based on visual features. However, being a significant component of sports video, audio may also play an important role in semantic event detection. In this paper, we have borrowed the concept of the “keyword” from the text mining domain to define a set of specific audio sounds. These specific audio sounds refer to a set of game-specific sounds with strong relationships to the actions of players, referees, commentators, and audience, which are the reference points for interesting sports events. Unlike low-level features, audio keywords can be considered as a mid-level representation, able to facilitate high-level analysis from the semantic concept point of view. Audio keywords are created from low-level audio features with learning by support vector machines. With the help of video shots, the created audio keywords can be used to detect semantic events in sports video by Hidden Markov Model (HMM) learning. Experiments on creating audio keywords and, subsequently, event detection based on audio keywords have been very encouraging. Based on the experimental results, we believe that the audio keyword is an effective representation that is able to achieve satisfying results for event detection in sports video. Application in three sports types demonstrates the practicality of the proposed method.