A Novel ROI-Based Rate Control Scheme for H.264

Shi, Yong; Yue, Shaoyuan; Yin, Baocai; Huo, Yi

doi:10.1109/icycs.2008.174

Cited by 5 publications

References 11 publications

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Region-of-interest based rate control algorithm for H.264/AVC video coding

2015

Multimed Tools Appl

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Conventional rate control algorithms allocate bits for every macroblock (MB) without consider whether it needs encoding, and they choose encoding mode only from the set provided by H.264/AVC standard. While, 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 MBs unequally, especially for NROI MB, we may do not need encoded. In this paper, a ROI-based rate control algorithm for H.264/AVC video coding is proposed to improve the coding efficiency. After the ROI segmentation, the target bits are unequally allocated for each MB. For non-region-of-interest (NROI) MB coding, we proposed the Active MB Concealment (AMC) Mode in rate-distortion optimization (RDO). The AMC gives a tradeoff between the rate and distortion and improve the quality of the ROI MBs at the cost of the quality decreasing of the NROI MBs. Compared with the conventional rate control algorithms, the experimental results demonstrate that the proposed algorithm gives the better performance in terms of the average peak signal-to-noise ratio (PSNR) and the subjective evaluations, and maintains the smoothness of video quality.

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Region-of-interest based rate control algorithm for H.264/AVC video coding

2015

Multimed Tools Appl

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Surveillance centric coding

Zgaljic¹,

Ramzan²,

Akram³

et al. 2008

5th International Conference on Visual Information Engineering (VIE 2008)

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In this paper we introduce the paradigm of Surveillance Centric Coding (SCC), in which coding aims to achieve bitrate optimisation and adaptation of surveillance videos for storing and transmission purposes. In the proposed approach the SCC encoder communicates with Video Content Analysis (VCA) module that detects events of interests in video captured by CCTV. Bit-rate optimization and adaptation is achieved by exploiting the scalability properties of the employed codec. Time segments containing events relevant to surveillance application are encoded using high spatiotemporal resolution and quality while the irrelevant portions from the surveillance standpoint are encoded at low spatiotemporal resolution and / or quality. Thanks to the scalability of the produced compressed bit-stream, additional bit-rate adaptation is possible, for instance for the transmission purposes. Experimental evaluation shows that significant reduction in bit-rate can be achieved by the proposed approach without loss of information relevant to surveillance applications.

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