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Title: QP selection optimization for intra-frame encoding based on constant perceptual quality
Authors: Wang, C
Mou, X
Zhang, L 
Keywords: Bit allocation optimization
Constant quality
Intra-frame encoding
Perceptual video coding
Issue Date: 2016
Publisher: Institute of Electronics, Information and Communication Engineers
Source: IEICE transactions on information and systems, 2016, v. E99D, no. 2, p. 443-453 How to cite?
Journal: IEICE transactions on information and systems 
Abstract: In lossy image/video encoding, there is a compromise between the number of bits and the extent of distortion. Optimizing the allocation of bits to different sources, such as frames or blocks, can improve the encoding performance. In intra-frame encoding, due to the dependency among macro blocks (MBs) introduced by intra prediction, the optimization of bit allocation to the MBs usually has high complexity. So far, no practical optimal bit allocation methods for intra-frame encoding exist, and the commonly used method for intra-frame encoding is the fixed-QP method. We suggest that the QP selection inside an image/a frame can be optimized by aiming at the constant perceptual quality (CPQ). We proposed an iteration-based bit allocation scheme for H.264/AVC intra-frame encoding, in which all the local areas (which is defined by a group of MBs (GOMBs) in this paper) in the frame are encoded to have approximately the same perceptual quality. The SSIM index is used to measure the perceptual quality of the GOMBs. The experimental results show that the encoding performance on intra-frames can be improved greatly by the proposed method compared with the fixed-QP method. Furthermore, we show that the optimization on the intra-frame can bring benefits to the whole sequence encoding, since a better reference frame can improve the encoding of the subsequent frames. The proposed method has acceptable encoding complexity for offline applications.
ISSN: 0916-8532
DOI: 10.1587/transinf.2015EDP7183
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