Joint rate control algorithm for low-delay MPEG-4 object- based video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Review article: Object-based video coding with dynamic quality control
Image and Vision Computing
Convex Optimization-Based Bit Allocation for Video Coding
Journal of Signal Processing Systems
Motion attention based frame-level bit allocation scheme for H.264
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Depth based object prioritisation for 3D video communication over wireless LAN
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Stereoscopic visual attention-based regional bit allocation optimization for multiview video coding
EURASIP Journal on Advances in Signal Processing
Arbitrary ROI-based wavelet video coding
Neurocomputing
Two-layer average-to-peak ratio based saliency detection
Image Communication
A novel H.264 rate control algorithm with consideration of visual attention
Multimedia Tools and Applications
Saliency detection using joint spatial-color constraint and multi-scale segmentation
Journal of Visual Communication and Image Representation
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In MPEG-4, a visual scene may be treated as a composition of video objects and coded at object level. Such a flexible video coding framework makes it possible to code different video objects with different priority according to human perceptual characteristics. In this paper, we introduce a novel dynamic bit allocation framework to improve the subjective quality in such an object-based video coding system. We incorporate the rate distortion models with the dynamic priorities of the video objects and jointly encode video objects to minimize the weighted distortion within the bit budget constraint. We guarantee the human-interested video objects a better reconstructed quality by using the weighted bit allocation strategy in favour of the video objects with higher priority. To obtain the priority automatically, we apply a visual attention model. Comparing with traditional bit allocation algorithms, the objective quality of the object with higher priority is significantly improved under this framework. These results demonstrate the usefulness of this dynamic bit allocation framework