Graduate School and Research Center in Digital Sciences

Rushes video parsing using video sequence alignment

Dumont, Emilie;Merialdo, Bernard

CBMI 2009, 7th International Workshop on Content-Based Multimedia Indexing, June 3-5, 2009, Chania, Crete Island, Greece

      In this paper, we propose a novel method inspired by the bio-informatics domain to parse a rushes video into scenes and takes. The Smith-Waterman algorithm provides an efficient way to compare sequences by comparing segments of all possible lengths and optimizing the similarity measure. We propose to adapt this method in order to detect repetitive sequences in rushes video. Based on the alignments found, we can parse the video into scenes and takes. By comparing takes together, we can select the most complete take in each scene. This method is evaluated on several rushes videos from the TRECVID BBC Rushes Summarization campaign.

Document Doi Bibtex

Title:Rushes video parsing using video sequence alignment
Keywords:image segmentation, image sequences, video signal processing
City:Crete Island
Department:Data Science
Eurecom ref:2748
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Bibtex: @inproceedings{EURECOM+2748, doi = {}, year = {2009}, title = {{R}ushes video parsing using video sequence alignment }, author = {{D}umont, {E}milie and {M}erialdo, {B}ernard }, booktitle = {{CBMI} 2009, 7th {I}nternational {W}orkshop on {C}ontent-{B}ased {M}ultimedia {I}ndexing, {J}une 3-5, 2009, {C}hania, {C}rete {I}sland, {G}reece}, address = {{C}rete {I}sland, {GREECE}}, month = {06}, url = {} }
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