Proceedings ArticleDOI
Rule-based video classification system for basketball video indexing
Wensheng Zhou,Asha Vellaikal,C.-C. Jay Kuo +2 more
- pp 213-216
TLDR
This paper investigates the use of video content analysis and feature extraction and clustering techniques for further video semantic classifications and a supervised rule based video classification system is proposed that can be applied to applications such as on-line video indexing, filtering and video summaries, etc.Abstract:
Current information and communication technologies provide the infrastructure to send bits anywhere, but do not presume to handle information at the semantic level. This paper investigates the use of video content analysis and feature extraction and clustering techniques for further video semantic classifications and a supervised rule based video classification system is proposed. This system can be applied to the applications such as on-line video indexing, filtering and video summaries, etc. As an experiment, basketball video structure will be examined and categorized into different classes according to distinct visual and motional characteristics features by rule-based classifier. The semantics classes, the visual/motional feature descriptors and their statistical relationship are then studied in detail and experiment results based on basketball video will be provided and analyzed.read more
Citations
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Journal ArticleDOI
Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Journal ArticleDOI
Automatic soccer video analysis and summarization
TL;DR: The proposed framework includes some novel low-level processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection,and penalty-box detection.
Journal ArticleDOI
A Survey on Visual Content-Based Video Indexing and Retrieval
TL;DR: Methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, and video retrieval including query interfaces are analyzed.
Journal ArticleDOI
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: A unifying and multimodal framework is put forward, which views a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: In this paper, a unifying and multimodal framework is proposed to view a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
References
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Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
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Proceedings ArticleDOI
Automatic classification of tennis video for high-level content-based retrieval
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