A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic thumbnail cropping and its effectiveness
Proceedings of the 16th annual ACM symposium on User interface software and technology
Dynamic Search Range Control for H.264
ISMW '07 Proceedings of the Ninth IEEE International Symposium on Multimedia Workshops
Dynamic control of motion estimation search parameters for low complex H.264 video coding
IEEE Transactions on Consumer Electronics
Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation
IEEE Transactions on Image Processing
Region-of-Interest Based Resource Allocation for Conversational Video Communication of H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Since H.264 is a high performance coding standard in with high computational requirements, it is hard to implement on portable devices. According to the human visual system (HVS) research, human eyes can only focus on one area in a frame, which is called region-of-interest (ROI). This phenomenon gives a chance to code all macroblocks unequally. In this work, the ROI is detected using texture contrast and motion features. This detector uses a simple scheme to meet the low power requirement of portable application. After getting ROI, coding parameters, in terms of search ranges, and valid modes, are allocated in ROI and non-ROI respectively. This strategy reduces the coding complexity and keeps the visual quality. The ROI detector and the encoder are designed to be decoding-friendly and hardware-friendly.