A mid-level representation framework for semantic sports video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Sports video summarization using highlights and play-breaks
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Offense based temporal segmentation for event detection in soccer video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
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Semantic and structural analysis of TV diving programs
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BilVideo: Design and Implementation of a Video Database Management System
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Proceedings of the 13th annual ACM international conference on Multimedia
Automatic generation of personalized music sports video
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Beyond Tracking: Modelling Activity and Understanding Behaviour
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An audio/video analysis mechanism for web indexing
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The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
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Robust scene recognition using language models for scene contexts
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Live sports event detection based on broadcast video and web-casting text
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Soccer video analysis by ball, player and referee tracking
SAICSIT '06 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Using object and trajectory analysis to facilitate indexing and retrieval of video
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A narrative-based abstraction framework for story-oriented video
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A robust scene recognition system for baseball broadcast using data-driven approach
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Unsupervised content-based indexing of sports video
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Personalized retrieval of sports video
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Activity based surveillance video content modelling
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Attention guided football video content recommendation on mobile devices
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CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Event tactic analysis based on player and ball trajectory in broadcast video
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Active post-refined multimodality video semantic concept detection with tensor representation
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Interactive broadcast services for live soccer video based on instant semantics acquisition
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Personalized video adaptation based on video content analysis
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Tracking the soccer ball using multiple fixed cameras
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Event tactic analysis based on broadcast sports video
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A Hierarchical Semantics-Matching Approach for Sports Video Annotation
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Bridging the semantic gap in sports video retrieval and summarization
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Knowledge-discounted event detection in sports video
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A generic framework for event detection in various video domains
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A comprehensive study of visual event computing
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Semantic event detection in structured video using hybrid HMM/SVM
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Tactic analysis based on real-world ball trajectory in soccer video
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Automatic parsing of sports videos with grammars
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
A Generic Approach for Systematic Analysis of Sports Videos
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Text driven temporal segmentation of cricket videos
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Personalized sports video customization for mobile devices
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Recommendations for video event recognition using concept vocabularies
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Journal of Visual Communication and Image Representation
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In this paper, we propose event-based video indexing, which is a kind of indexing by its semantical contents. Because video data is composed of multimodal information streams such as visual, auditory, and textual [closed caption (CC)] streams, we introduce a strategy of intermodal collaboration, i.e., collaborative processing taking account of the semantical dependency between these streams. Its aim is to improve the reliability and efficiency in contents analysis of video. Focusing here on temporal correspondence between visual and CC streams, the proposed method attempts to seek for time spans in which events are likely to take place through extraction of keywords from the CC stream and then to index shots in the visual stream. The experimental results for broadcasted sports video of American football games indicate that intermodal collaboration is effective for video indexing by the events such as touchdown (TD) and field goal (FG)