Scene-segmentation-based semantic watermark embedding method for video resource

Abstract

The invention discloses a scene-segmentation-based semantic watermark embedding method for a video resource. According to the scene-segmentation-based semantic watermark embedding method, a video semantic information set, containing content semantic information, control semantic information and optional physical attribute information, is firstly generated, an original video sequence of the video resource is then subjected to segmentation, and a scene video sequence with higher texture complexity and more dramatic interframe change is selected as a target scene video sequence; when the target scene video sequence is subjected to compressed coding, the control semantic information and the physical attribute information are embedded into I frames of each group of picture (GOP), the content semantic information is embedded into non-I frames, and a compressed code stream containing semantic watermarks is then generated; and the semantic information is represented by using the manners of plain texts and mapping codes and then respectively embedded into the non-I frames and I frames of GOPs of compressed codes of the target scene video sequence, so that the embedded amount of the semantic watermarks is increased, the robustness is enhanced, and meanwhile, the remarkable reduction of the quality of the video resource cannot be caused.

Description

technical field [0001] The invention belongs to the technical field of video resource management, and more specifically relates to a video resource semantic watermark embedding method based on scene segmentation. Background technique [0002] With the birth of Web2.0 technology, video resources permeate every corner of the network, and it becomes extremely difficult to search for semantics with inconsistent formats or default tags. At the same time, with the increasing popularity of the Internet and the rapid development of video compression technology, emerging network service providers such as broadcasting networks, the Internet, and telecommunication networks, and multimedia terminals such as set-top boxes, computers, and mobile phones have greatly expanded the transmission and application of video resources. , thus exacerbating the difficulty of video resource management, especially in recent years with the rapid development of high-definition digital TV, at this time vi...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a video resource semantic watermark embedding method based on scene segmentation to solve the problem of limited sema...

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