Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach

Li, Shengxi; Xu, Mai; Ren, Yun; Ma, Chengzhang; Wang, Zulin

doi:10.1109/dcc.2016.10

Cited by 3 publications

(2 citation statements)

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“…In other words, e t and o t in (1) need to satisfy the following differential equation: where M 2 , M 1 and M 0 are coefficients. Next, we use the following way to make the modelled relationship between e t and QP t (i.e., (5) and (6)) satisfy the above requirement of the PID controller (i.e., (7)), such that, the PID controller can be applied to solve our quality control formulation in Section 3.1. Specifically, by applying the differential operation on (5), the following equation holds:…”

Section: Pid-based Solution To the Quality Control Formulationmentioning

confidence: 99%

“…Catering for such demand, various video coding standards have been proposed and developed to compress raw video data [1][2][3], in the way of minimizing bit-rates or optimizing quality with certain constraints according to different applications. Generally speaking, rate control [4,5] aims at controlling bit-rates to meet different requirements, e.g., minimizing distortion for storage application or reducing bit-rates fluctuation for communication. Moreover, in some cases when perceived quality is highly crucial, quality control can be adopted to compress a video at a certain and constant quality, thus obtaining more desirable QoE.…”

Section: Introductionmentioning

confidence: 99%

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Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method

Song

2017

2017 Data Compression Conference (DCC)

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In video coding, compressed videos with certain and constant quality can ensure quality of experience (QoE). To this end, we propose in this paper a novel PID-based quality control (PQC) method for video coding. Specifically, a formulation is modelled to control quality of video coding with two objectives: minimizing control error and quality fluctuation. Then, we apply the Laplace domain analysis to model the relationship between quantization parameter (QP) and control error in this formulation. Given the relationship between QP and control error, we propose a solution to the PQC formulation, such that videos can be compressed at certain and constant quality. Finally, experimental results show that our PQC method is effective in both control accuracy and quality fluctuation.

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Section: Pid-based Solution To the Quality Control Formulationmentioning

confidence: 99%