Semantic Segmentation and Description for Video Transcoding

We present an automatic content-based video transcoding algorithm which is based on how humans perceive visual information. The transcoder support multiple video objects and their description. First the video is decomposed into meaningful objects through semantic segmentation. Then the transcoder adapts its behaviour to code relevant (foreground) and non relevant objects differently. Both objectbased and frame-based encoders are combined with semantic segmentation. Experimental results show that the use of semantics and description prior to transcoding reduces the bandwidth requirements and makes it possible to adapt the video representation to limited network and terminal device capabilities still retaining the essential information.


Publié dans:
Proceedings of IEEE International Conference on Multimedia and Expo, ICME'03, 3, 597-600
Année
2003
Publisher:
IEEE
Mots-clefs:
Laboratoires:




 Notice créée le 2006-06-14, modifiée le 2019-12-05

n/a:
Télécharger le document
PDF

Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)