NDLI: Content-Based Video Segment Reunification for TV Program Extraction

Content Provider	IEEE Xplore Digital Library
Author	Manson, G. Berrani, S.-A.
Copyright Year	2009
Abstract	This paper addresses the problem of automatic broadcasted TV program extraction from the low-level video data without using any metadata. In this context, the TV stream is first segmented. Segments are then classified into two categories: segments of inter-programs (e.g. commercials) and segments of programs that are parts of broadcasted TV programs (e.g. films, news, shows). One TV program can hence be split into several parts over a set of consecutive program segments. Consecutive program segments of the same TV program thus have to be reunified or fused in order to retrieve the entire TV program. This consecutive program segment reunification is the main concern of the paper. We focus in particular on the case where no metadata is available. We assume that the different parts of a same TV program share a set of features. Hence, our solution relies on analyzing the visual content and characteristics of each pair of consecutive segments in order to decide if they have to be reunified or not. It uses, amongst others, content-based descriptors like the color distribution, the number of faces in each segment and also the number of near-identical shots between the two segments. These descriptors are then used within an SVM classifier which makes the final decision. The effectiveness of the solution has been shown experimentally using a real TV stream of three weeks.
Starting Page	57
Ending Page	64
File Size	281813
Page Count	8
File Format	PDF
ISBN	9781424452316
DOI	10.1109/ISM.2009.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Streaming media TV broadcasting Data mining Multimedia communication Fuses Telecommunications Research and development Support vector machines Support vector machine classification Indexing video indexing TV broadcast TV program extraction video classification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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