Document image segmentation algorithms primarily aim at separating text and graphics in presence of complex layouts. However, for many non-Latin scripts, segmentation becomes a ch...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
Medical imaging has made great technological breakthroughs in multimodal acquisition, visualization, and analysis with many complementary image modalities to non-invasively captur...
In this paper, we present a novel framework to customize multimedia messages for mobile users. The goal is to generate a video message from a series of pictures. The framework inc...
The need to analyze and index large amounts of video information is becoming more important as the way people consume media continues to change. In recent years, the push to attac...