Video area-of-interest exacting method based on depth

Abstract

The invention discloses a video area-of-interest exacting method based on depth; the invention has the advantages of associatively utilizing texture video frame and depth video frame corresponding to the texture video frame, both of the texture video frame and the depth video frame are synchronous on time; the method comprises the steps as follows: firstly obtaining motion region of the texture video frame and binary mask image of contour texture, and each depth layer of the depth video frame and binary mask image of depth discontinuous regions, then obtaining the binary mask image of each depth object layer of each depth layer, and the binary mask image of contour feature region of each depth layer, then taking the binary mask image of contour feature region of each depth layer as feature, for scanning the binary mask image of each depth object layer, obtaining the area-of-interest in the binary mask image of each depth object layer, finally stacking the area-of-interest in the binary mask image of each depth object layer to obtain the area-of-interest of the texture video frame; the area-of-interest obtained by the method conforms to the semantic feature and has low calculating complexity and high precision.

Description

technical field [0001] The invention relates to a video signal processing method, in particular to a depth-based video interest region extraction method. Background technique [0002] The appearance of television has greatly changed people's way of life and effectively promoted the progress and development of society. So far, the field of radio and television has experienced two technological revolutions, realizing the leap from black and white to color, and from analog to digital high-definition. Stereoscopic TV, also known as 3DTV (Three Dimensional Television, three-dimensional television), because stereoscopic television can provide a leap from plane to stereoscopic, it will surely become a new development direction of radio and television technology, so stereoscopic television has been favored by research institutions and industries at home and abroad highly valued. [0003] In 2002, an ATTEST (Advanced 3D Television System Technology) project was launched in the IST ...

AI Technical Summary

Problems solved by technology

Traditional video ROI extraction methods mainly use information such as color, edge, and motion of color video to segment ROIs. The accuracy is not high, and it is difficult to extract regions of interest that conform to semantic features in complex background environments

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