Graduate School and Research Center in Digital Sciences

Audio recurrence contribution to a video-based TV program structuring approach

Abduraman, Alina Elma; Berrani, Sid-Ahmed; Mérialdo, Bernard

ISM 2011, IEEE International Symposium on Multimedia, December 5-7, 2011, Dana Point, CA, USA

This paper addresses the problem of unsupervised TV programs structuring. Program structuring allows direct and non linear access to the desired parts of a program. Our work addresses the structuring of recurrent TV programs like news, entertainment programs, TV shows, TV magazines. In a previous work we proposed a program structuring method based on the detection of video recurrences. In this paper we extend our study to audio recurrences and verify their influence on the final structuring. We evaluate the structuring results on both approaches (audio and video) separately and jointly. We use for evaluation a 62 hours dataset corresponding to 97 episodes of TV programs.  

Document Doi Bibtex

Title:Audio recurrence contribution to a video-based TV program structuring approach
Keywords:TV Program Structuring, Non-linear Browsing, Audio and Video Recurrence Detection, TV Content Indexing.
City:Dana Point
Department:Data Science
Eurecom ref:3549
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Bibtex: @inproceedings{EURECOM+3549, doi = { }, year = {2011}, title = {{A}udio recurrence contribution to a video-based {TV} program structuring approach}, author = {{A}bduraman, {A}lina {E}lma and {B}errani, {S}id-{A}hmed and {M}{\'e}rialdo, {B}ernard}, booktitle = {{ISM} 2011, {IEEE} {I}nternational {S}ymposium on {M}ultimedia, {D}ecember 5-7, 2011, {D}ana {P}oint, {CA}, {USA} }, address = {{D}ana {P}oint, {UNITED} {STATES}}, month = {12}, url = {} }
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