In this paper, we present a new concept of distributed adaptation and P2P streaming supporting the expansion of context-aware mobile P2P systems. Here, we propose to adapt video c...
Razib Iqbal, Dewan Tanvir Ahmed, Shervin Shirmoham...
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
In this paper we address the problem of providing conditional access to video sequences, namely, to generate a low-quality video to be used as preview, which can be decoded at ful...
In this paper, we discuss a user interface issue with regard to automatic video editing based on the speaker’s intentions. In our experiments, the subjects used previously devel...
In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empiri...
Ruly Lai-U Choi, Michel T. Ivrlac, Eckehard G. Ste...