Feature extraction and content analysis for sports videos annotation
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Semantic Annotation of Sports Videos
IEEE MultiMedia
Scalable Independent Multi-level Distribution in Multimedia Content Analysis
IDMS/PROMS 2002 Proceedings of the Joint International Workshops on Interactive Distributed Multimedia Systems and Protocols for Multimedia Systems: Protocols and Systems for Interactive Distributed Multimedia
Semantic Characterization of Visual Content for Sports Videos Annotation
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
Semantic Annotation and Indexing of News and Sports Videos
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Face Detection for Video Summaries
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Automatic interpretation of soccer video for highlights extraction and annotation
Proceedings of the 2003 ACM symposium on Applied computing
Affective content detection using HMMs
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Automatic Analysis of Multimodal Group Actions in Meetings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant local features selection using efficient density estimation in a large database
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
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
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
Audiovisual integration with Segment Models for tennis video parsing
Computer Vision and Image Understanding
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Client-centered multimedia content adaptation
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Bridging the semantic gap in sports video retrieval and summarization
Journal of Visual Communication and Image Representation
Scaling content-based video copy detection to very large databases
Multimedia Tools and Applications
Annotation and retrieval of structured video documents
ECIR'03 Proceedings of the 25th European conference on IR research
Robust content-based video copy identification in a large reference database
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Multimedia ontology based computational framework for video annotation and retrieval
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Text-based video content classification for online video-sharing sites
Journal of the American Society for Information Science and Technology
A multi-stage approach for anchor shot detection
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Multi channel sequence processing
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Temporal relation analysis in audiovisual documents for complementary descriptive information
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
A similarity measure between videos using alignment, graphical and speech features
Expert Systems with Applications: An International Journal
International Journal of Multimedia Data Engineering & Management
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This paper presents a new approach to content-based video indexing using hidden Markov models (HMMs). In this approach one feature vector is calculated for each image of the video sequence. These feature vectors are modeled and classified using HMMs. This approach has many advantages compared to other video indexing approaches. The system has automatic learning capabilities. It is trained by presenting manually indexed video sequences. To improve the system we use a video model, that allows the classification of complex video sequences. The presented approach works three times faster than real-time. We tested our system on TV broadcast news. The rate of 97.3% correctly classified frames shows the efficiency of our system.