NDLI: A Mid-level Visual Concept Generation Framework for Sports Analysis

Content Provider	IEEE Xplore Digital Library
Author	Xiaofeng Tong Duan, L. Hanqing Lu Xu, C. Tian, Q. Jin, J.S.
Copyright Year	2005
Description	Author affiliation: Nat. Lab of Pattern Recognition, Chinese Acad. of Sci., Beijing (Xiaofeng Tong)
Abstract	The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-level concepts and statistical models to detect particular events. Based on broadcast sports video production knowledge, we extend our previous work to present a unified framework for mid-level concept generation in this paper. A video segment is characterized via three essential aspects: camera shot size, an object appearing in a scene, and video production technology. These three aspects clearly summarize the primary concerns in terms of a generic concept generation. Within this framework, we can flexibly and clearly define meaningful mid-level concepts towards comprehensive video content analysis, such as replay classification and the detection of events (e.g. goal, shoot, attack, foul, offside, and out of bound, etc.)
Starting Page	646
Ending Page	649
File Size	214205
Page Count	4
File Format	PDF
ISBN	0780393317
DOI	10.1109/ICME.2005.1521506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-06
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production Hidden Markov models Event detection Multimedia communication Broadcasting Cameras Layout Bridges Feature extraction Performance analysis
Content Type	Text
Resource Type	Article

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