Content-driven adaptation of on-line video
Image Communication
Lightweight object tracking in compressed video streams demonstrated in region-of-interest coding
EURASIP Journal on Applied Signal Processing
Evaluation of video news classification techniques for automatic content personalisation
International Journal of Advanced Media and Communication
Video sequence motion tracking by fuzzification techniques
Applied Soft Computing
Remote interactive browsing of video surveillance content based on JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Video news classification for automatic content personalization: a genetic algorithm based approach
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
On the implementation of semantic content adaptation in the drama manufacturing process
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
PriSurv: privacy protected video surveillance system using adaptive visual abstraction
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Saliency-based fidelity adaptation preprocessing for video coding
Journal of Computer Science and Technology - Special issue on natural language processing
Annotation based personalized adaptation and presentation of videos for mobile applications
Multimedia Tools and Applications
Efficient video coding based on audio-visual focus of attention
Journal of Visual Communication and Image Representation
An engine for content-aware on-line video adaptation
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
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We present an encoding framework which exploits semantics for video content delivery. The video content is organized based on the idea of main content message. In the work reported in this paper, the main content message is extracted from the video data through semantic video analysis, an application-dependent process that separates relevant information from non relevant information. We use here semantic analysis and the corresponding content annotation under a new perspective: the results of the analysis are exploited for object-based encoders, such as MPEG-4, as well as for frame-based encoders, such as MPEG-1. Moreover, the use of MPEG-7 content descriptors in conjunction with the video is used for improving content visualization for narrow channels and devices with limited capabilities. Finally, we analyze and evaluate the impact of semantic video analysis in video encoding and show that the use of semantic video analysis prior to encoding sensibly reduces the bandwidth requirements compared to traditional encoders not only for an object-based encoder but also for a frame-based encoder.