Visual information retrieval
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Multi-Modal Dialog Scene Detection Using Hidden Markov Models for Content-Based Multimedia Indexing
Multimedia Tools and Applications
Scene Determination Based on Video and Audio Features
Multimedia Tools and Applications
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
A probabilistic framework for semantic video indexing, filtering,and retrieval
IEEE Transactions on Multimedia
Semi-automatic annotation and MPEG-7 authoring of dance videos
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
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In this paper, we present a design and implementation of a bowling information system. This system contains three types of bowling game information including the bowling video content information, the game-related information and the player information. The MPEG-7 Description Schemes are used to describe these types of information and the relationships among them. This information is obtained through an annotator by which manual conceptual feature annotation (for the player and game-related information) and automatic perceptual feature extraction (for the video content information) are integrated. Several interesting events in the video such as strikes and the important frames are determined by automatically analyzing the video content. With an interactive user interface, users' queries are transformed into XQuery to retrieve needed information about the bowling games to learn the skills of bowling. In addition to the implementation of the system, we also perform experiments to show the effectiveness of the automatic video content information extraction.