Region of interest (ROI) video coding method and apparatus based on object detection

Abstract

The invention relates to the field of a video coding technology, and discloses a region of interest (ROI) video coding method and apparatus based on object detection. The video coding method comprises the following steps: performing the object detection on an original image, generating object information, and obtaining an object area and confidence; converting the object area into an ROI suitable for coding; according to coding quality grades and the confidence, calculating coding quantification parameters; and according to the corresponding coding quantification parameters, performing quantification coding on the ROI and a non-ROI. According to the invention, the ROI, the non-ROI and the corresponding confidence are obtained through the object detection, and the corresponding quantification parameters are selected for performing the quantification coding on the ROI and the non-ROI, such that the coding quality and stability of the ROI can be effectively ensured, at the same time under the condition that the coding quality of the ROI is not reduced, the compression code stream of a whole image can be decreased, and the video transmission and storage efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of video coding, in particular to a method and device for video coding a region of interest based on target detection. Background technique [0002] Video surveillance is an important part of the security industry. With the continuous expansion of the video surveillance system and the increase of monitoring points, it is necessary to pay a huge cost for data transmission and storage. Therefore, video information must be efficiently compressed to make full use of network resources, reduce storage space, and achieve cost savings. [0003] In the practical application of video surveillance, people are generally only interested in a certain part of the surveillance scene, thus potentially requiring higher coding quality in the region of interest, while not requiring high coding quality in the region of non-interest. In the previous monitoring system, the entire image was uniformly adjusted for encoding...

AI Technical Summary

Problems solved by technology

There are solutions in the prior art that use H.264’s flexible macroblock sorting to process ROI coding, try to preserve data information for ROI, and minimize coding bits for non-ROI, but this method is only applicable to H. .264 encoding, and additional bit overhead needs to be added, general decoders cannot support flexible macroblock sorting, and require higher access to the decoding end

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