Ecole d'ingénieur et centre de recherche en Sciences du numérique

Enabling on-the-fly video shot detection on YouTube

Steiner, Thomas; Verborgh, Ruben; Gabarró Vallés, Joaquim; Troncy, Raphaël; Hausenblas, Michael; Van de Walle, Rik; Brousseau, Arnaud

WWW 2012, 21st International World Wide Web Conference Developer's Track, April 16-20, 2012, Lyon, France

Video shot detection is the processor-intensive task of splitting a video into continuous shots, with hard or soft cuts as the boundaries. In this paper, we present a client-side on-the-fly approach to this challenge based on modern HTML5-enabled Web APIs. We show how video shot detection can be seamlessly embedded into video platforms like YouTube using browser extensions. Once a video has been split into shots, shot-based video navigation gets enabled and more fine-grained playing statistics can be created.

Document Bibtex

Titre:Enabling on-the-fly video shot detection on YouTube
Mots Clés:Shot detection, shot boundary detection, video processing
Type:Conférence
Langue:English
Ville:Lyon
Pays:FRANCE
Date:
Département:Data Science
Eurecom ref:3676
Copyright: © ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in WWW 2012, 21st International World Wide Web Conference Developer's Track, April 16-20, 2012, Lyon, France
Bibtex: @inproceedings{EURECOM+3676, year = {2012}, title = {{E}nabling on-the-fly video shot detection on {Y}ou{T}ube}, author = {{S}teiner, {T}homas and {V}erborgh, {R}uben and {G}abarr{\'o} {V}all{\'e}s, {J}oaquim and {T}roncy, {R}apha{\"e}l and {H}ausenblas, {M}ichael and {V}an de {W}alle, {R}ik and {B}rousseau, {A}rnaud}, booktitle = {{WWW} 2012, 21st {I}nternational {W}orld {W}ide {W}eb {C}onference {D}eveloper's {T}rack, {A}pril 16-20, 2012, {L}yon, {F}rance}, address = {{L}yon, {FRANCE}}, month = {04}, url = {http://www.eurecom.fr/publication/3676} }
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