Graduate School and Research Center in Digital Sciences

Spatiotemporal modeling and matching of video shots

Galmar, Eric;Huet, Benoit

ICIP 2008, 1st Workshop on Multimedia Information Retrieval: New Trends and Challenges, October 12-15, 2008, San Diego, USA

In this paper, we propose a framework to model video sequences using spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segmentation algorithm. Video shots are described by building an adjacency graph which models the visual properties of the volumes and the spatiotemporal relationships between them. The cost of extracting visual descriptors for the whole shot is reduced by efficiently propagating and merging region descriptors on spatiotemporal volumes. For the comparison of video shots, we propose a similarity measure which tolerates variability in the spatiotemporal representation. Promising experimental results are observed on different visual video shot categories. Spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segmentation algorithm. Video shots are described by building an adjacency graph which models the visual properties of the volumes and the spatiotemporal relationships between them. The cost of extracting visual descriptors for the whole shot is reduced by efficiently propagating and merging region descriptors on spatiotemporal volumes. For the comparison of video shots, we propose a similarity measure which tolerates variability in the spatiotemporal representation. Promising experimental results are observed on different visual video shot categories.

Document Doi Bibtex

Title:Spatiotemporal modeling and matching of video shots
Type:Conference
Language:English
City:San Diego
Country:UNITED STATES
Date:
Department:Data Science
Eurecom ref:2577
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Bibtex: @inproceedings{EURECOM+2577, doi = { http://dx.doi.org/10.1109/ICIP.2008.4711677 }, year = {2008}, title = {{S}patiotemporal modeling and matching of video shots}, author = {{G}almar, {E}ric and {H}uet, {B}enoit}, booktitle = {{ICIP} 2008, 1st {W}orkshop on {M}ultimedia {I}nformation {R}etrieval: {N}ew {T}rends and {C}hallenges, {O}ctober 12-15, 2008, {S}an {D}iego, {USA}}, address = {{S}an {D}iego, {UNITED} {STATES}}, month = {10}, url = {http://www.eurecom.fr/publication/2577} }
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