Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
Block coders are among the most common compression tools available for still images and video sequences. Their low computational complexity along with their good performance make ...
Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman ...
With the proliferation of digital cameras, more consumers are faced with the problem of making color corrections to their pictures. while most picture editors allow some white poi...
We present a new block matching criterion for motion estimation in video coding that will give better encoded video quality than the commonly used sum of absolute differences (SAD...
This paper is concerned with the efficient transmission of scalable compressed images with complex dependency structures over lossy communication channels. Our recent work propose...
This paper is concerned with remote browsing of JPEG2000 compressed imagery. A potentially interactive client identifies a region and maximum resolution of interest. The server re...