Object and event detection for semantic annotation and transcoding

Semantic Video Transcoding Using Classes of Relevance

In this work we present a framework for on-the-fly video transcoding that exploits computer vision-based techniques to adapt the Web access to the user requirements. The proposed transcoding approach aims at coping both with user bandwidth and resources capabilities, and with user interests in the video’s content. We propose an object-based semantic transcoding that, according to user-defined c...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Content Based Architecture for Video Transcoding

To deliver streaming video over wireless networks is an important component for most interactive multimedia applications running on personal wireless handset devices. Such personal devices have to be inexpensive, compact, and lightweight. Under certain conditions, the bandwidth of a coded video stream needs to be drastically reduced. We propose an efficient mechanism for improving the quality o...

Semantic Transcoding: Making the World Wide Web More Understandable and Usable with External Annotations

This paper proposes an easy and simple method for constructing a super-structure on the Web which provides current Web contents with new value and new means of use. The super-structure is based on external annotations to Web documents. We have developed a system for any user to annotate any element of any Web document with additional information. We have also developed a proxy that transcodes r...

A Framework for Semantic Video Transcoding

Abstract. In this work we present a transcoding framework and an object-based technique to adapt live and stored videos to the user bandwidth and resources capabilities. Multiple transcoding policies are reviewed and a performance evaluation metric based on the Weighted Mean Square Error that allows different classes of relevance is presented. We present results for different transcoding polici...