Video content representation on tiny devices

The perceptual satisfaction of a user watching video on a tiny mobile device is constrained by the display capability and network bandwidth. To maximize the user´s perceptual satisfaction in this constrained environment, we propose a new method to represent the video content adaptively in real-time on tiny devices according to the user´s attention. First, a sampling based dynamic attention model is proposed to obtain and maintain the user´s attention in the video streams. Second, based on the most attended regions and sequences extracted, the attention based representation is introduced to achieve a higher perceptual satisfaction on a small display. Experiments with users show the effectiveness of our proposed method in a video surveillance application.