Semantic analysis for video contents extraction—spotting by association in news video
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Maintaining knowledge about temporal intervals
Communications of the ACM
Content-based indexing and retrieval of TV news
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Content-based audio retrieval with relevance feedback
Pattern Recognition Letters
SVM-Based Video Scene Classification and Segmentation
MUE '08 Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering
Large-scale content-based audio retrieval from text queries
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Audio-Based Shot Classification for Audiovisual Indexing Using PCA, MGD and Fuzzy Algorithm
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Applied Artificial Intelligence
Content-Based Classification and Segmentation of Mixed-Type Audio by Using MPEG-7 Features
MMEDIA '09 Proceedings of the 2009 First International Conference on Advances in Multimedia
Structural and semantic modeling of audio for content-based querying and browsing
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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This paper describes a complete, scalable and extensible content-based retrieval system for news broadcasts. Depending on segmentation results of the selected audio data, our system allows users to query audio data semantically by using both domain based fuzzy classes (anchor, commercial, reporter, sports, transition, weatherforecast, and venuesound) and similarity search. Two kinds of experiments were conducted on audio tracks of TRECVID news broadcasts to evaluate performance of the proposed query-by-example technique. The results obtained from our experiments demonstrate that Audio Spectrum Flatness feature in MPEG-7 standard performs better in music audio samples compared to other kinds of audio samples and the system is robust under different conditions.