Real-time content filtering for live broadcasts in TV terminals

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In this paper, we propose a new real-time content filtering framework for live broadcasts in TV terminals. Content filtering in TV terminals is a necessary provision of personalized broadcasting services in that it enables a TV viewer to obtain desired scenes from multiple channel broadcasts. In this paper, a stable and reliable filtering structure and an algorithm for multiple inputs are proposed. Moreover, real-time filtering requirements such as frame sampling rate per channel, number of input channels, and buffer condition are analyzed to achieve real-time processing in terminals with limited computing power. Based on queueing theory, we model the system and resolve the filtering requirements. To verify the proposed system and analysis, a filtering algorithm for soccer videos is applied which is modified for real-time processing. Through analysis of visual features (e.g., dominant color and edge components) and detection of spatial objects (e.g., a score board), it recognizes a temporal pattern between successive video frames and filters desired scenes. Experiments on soccer videos have been performed and the results validate the effectiveness of the proposed approach and system.
Publisher
SPRINGER
Issue Date
2008-02
Language
English
Article Type
Article
Keywords

PERSONAL VIDEO RECORDER; SCENE CHANGE DETECTION; SEQUENCES; SYSTEM

Citation

MULTIMEDIA TOOLS AND APPLICATIONS, v.36, pp.285 - 301

ISSN
1380-7501
DOI
10.1007/s11042-007-0148-1
URI
http://hdl.handle.net/10203/92562
Appears in Collection
EE-Journal Papers(저널논문)
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