Method and device for coding video based on ROI and JND

A technology for video coding and current macroblocks, applied in the field of video coding and decoding, which can solve the problems of not considering coded images and reduce the subjective quality of coding, and achieve the effect of reducing the coding rate and ensuring the subjective quality.

Active Publication Date: 2013-10-30
ZTE CORP
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Problems solved by technology

Although using the JND model for residual filtering can reduce the bit rate, it does not consider the ROI (Region Of Interest) attribute of the coded image. The parts with larger JND values ​​​​such as eyes, nose, and m

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  • Method and device for coding video based on ROI and JND
  • Method and device for coding video based on ROI and JND
  • Method and device for coding video based on ROI and JND

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Embodiment Construction

[0033] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] figure 1 It is a schematic flowchart of an embodiment of an ROI and JND-based video encoding method in the present invention. refer to figure 1 , the video encoding method based on ROI and JND comprises the following steps:

[0035] Step S101, judging whether the current macroblock for frame image processing belongs to the ROI area; if yes, execute step S102; otherwise, execute step S103;

[0036] Since there is a ROI (Region Of Interest, region of interest) in the image, for example, taking desktop video, video call and other application scenarios as examples, the ROI in the image is mainly a face area. In one embodiment of the present invention, the ROI a...

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Abstract

The invention discloses a method and a device for coding a video based on region of interest (ROI) and just-noticeable difference (JND). The method comprises the following steps that whether the current macro block for frame image processing belongs to the ROI or not is judged; if the current macro block for frame image processing does not belong to an ROI, a transform domain JND model of the current macro block is built, and based on the transform domain JND model, forecasted residual error self-adjustment is conducted on the current macro block. The ROI and non-ROI in a frame image are separately processed, namely, conventional coding processing is conducted on macro blocks belonging to the ROI, and coding processing is conducted on macro blocks belonging to the non-ROI in the coding mode that forecasted residual error self-adjustment is carried out through transform domain JND; therefore, subjective coding quality is guaranteed, and coding rate is reduced.

Description

technical field [0001] The present invention relates to the field of video coding and decoding, in particular to a video coding method and device based on ROI and JND. Background technique [0002] With the improvement and maturity of various compression coding technologies, the compression efficiency has reached a high level, and it is difficult to greatly improve the compression ratio. In video coding, the method of simply increasing the quantization parameter to reduce the bit rate will inevitably affect the subjective quality of coding. How to save the bit rate as much as possible under the premise of ensuring the subjective effect of encoding is a hot research topic at home and abroad. [0003] In recent years, scholars at home and abroad have gradually applied the visual characteristics of the human eye to video coding algorithms, introduced the Just-noticeable difference (JND) model into the video coding framework, and used the principle of visual redundancy in human...

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Application Information

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IPC IPC(8): H04N7/26H04N7/50
Inventor 曾幸喻莉左雯王宁鲁晓牧冯慧王亮红邓慧萍
Owner ZTE CORP
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