Graduate School and Research Center in Digital Sciences

Searching segments of interest in single story web-videos

Rouvier, Mickael; Linares, Georges; Favre, Benoit; Merialdo, Bernard

WIAMIS 2013, 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services, 3-5 July, Paris, France

This paper presents a method for predicting the parts of a video that could be marked as "interesting" by a user. Our approach consists in considering the three competing criteria : salience, expressivity and significativity and to automatically combine the three corresponding functions of interest. We evaluates this system on a user-annotated test set. Results demonstrate that, in spite of the intrinsic subjectivity of user choices, the system succeeds in finding about 51% of interesting segments.

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Title:Searching segments of interest in single story web-videos
Keywords:audio processing, multimedia summarization, video categorization
Department:Data Science
Eurecom ref:4037
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Bibtex: @inproceedings{EURECOM+4037, doi = {}, year = {2013}, title = {{S}earching segments of interest in single story web-videos}, author = {{R}ouvier, {M}ickael and {L}inares, {G}eorges and {F}avre, {B}enoit and {M}erialdo, {B}ernard}, booktitle = {{WIAMIS} 2013, 14th {I}nternational {W}orkshop on {I}mage and {A}udio {A}nalysis for {M}ultimedia {I}nteractive {S}ervices, 3-5 {J}uly, {P}aris, {F}rance}, address = {{P}aris, {FRANCE}}, month = {07}, url = {} }
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