Semantic video adaptation based on automatic annotation of sport videos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
FGS-MR: MPEG4 fine grained scalable multi-resolution layered video encoding
Proceedings of the 2006 international workshop on Network and operating systems support for digital audio and video
A comprehensive study of visual event computing
Multimedia Tools and Applications
| Hi-index | 0.00 |
Semantic video adaptation allows to transmit video content with different viewing quality, depending on the relevance of the content from the user's viewpoint. To this end, an automatic annotation subsystem must be employed that automatically detect relevant objects and events in the video stream. In this paper we present a composite framework that is made of an automatic annotation engine and a semantics-based adaptation module. Three new different compression solutions are proposed that work at the object or event level. Their performance is compared according to a new measure that takes into account the user's satisfaction and the effects on it of the errors in the annotation module.