Multi-Video summarization based on AV-MMR
CBMI 2010, 8th International Workshop on Content-Based Multimedia Indexing, June 23-25, 2010, Grenoble, France
This paper presents an algorithm for video summarization, Audio Video Maximal Marginal Relevance (AV-MMR), exploiting both audio and video information. It is an extension of the Video Maximal Marginal Relevance (Video-MMR) algorithm which was only based on visual information. AV-MMR iteratively selects segments which best represent unselected information and are non redundant with previously selected information. As for Video-MMR, AV-MMR is a generic algorithm which is suitable for both single and multiple videos with multiple genres. Several variants of AV-MMR are proposed and the best one is identified by experimentation. Besides, a visual representation of the coherence of audio and video information for a set of audio-visual sequences is also proposed.
| Type: | Conférence |
| Langue: | English |
| Ville: | Grenoble |
| Pays: | FRANCE |
| Date: | Juin 2010 |
| Département: | Communications Multimédia |
| Eurecom ref: | 3079 |
| Copyright: | © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Bibtex: | @inproceedings{EURECOM+3079, doi = {http://dx.doi.org/10.1109/CBMI.2010.5529899 }, year = {2010}, title = {{M}ulti-{V}ideo summarization based on {AV}-{MMR}}, author = {{L}i, {Y}ingbo and {M}{\'e}rialdo, {B}ernard}, booktitle = {{CBMI} 2010, 8th {I}nternational {W}orkshop on {C}ontent-{B}ased {M}ultimedia {I}ndexing, {J}une 23-25, 2010, {G}renoble, {F}rance}, address = {{G}renoble, {FRANCE}}, month = {06}, url = {http://www.eurecom.fr/publication/3079} } |
| Voir aussi: |
|
Permalink: http://www.eurecom.fr/publication/3079
