Method for automatically tagging animation scenes for matching through comprehensively utilizing overall color feature and local invariant features

Abstract

The invention discloses a method for automatically tagging animation scenes for matching through comprehensively utilizing an overall color feature and local invariant features, which aims to improve the tagging accuracy and tagging speed of animation scenes through comprehensively utilizing overall color features and color-invariant-based local invariant features. The technical scheme is as follows: preprocessing a target image (namely, an image to be tagged), calculating an overall color similarity between the target image and images in an animation scene image library, and carrying out color feature filtering on the obtained result; after color feature filtering, extracting a matching image result and the colored scale invariant feature transform (CSIFT) feature of the target image, and calculating an overall color similarity and local color similarities between the matching image result and the CSIFT feature; fusing the overall color similarity and the local color similarities so as to obtain a final total similarity; and carrying out text processing and combination on the tagging information of the images in the matching result so as to obtain the final tagging information of the target image. By using the method provided by the invention, the matching accuracy and matching speed of an animation scene can be improved.

Description

technical field [0001] The present invention relates to the technical field of multimedia information processing and an image tagging method based on image matching. Its essence is a method of obtaining matching objects by comparing image similarities, then merging the tagging information of matching objects, and using the clustering results as target objects. The method of annotating information is a method that comprehensively considers image color information and local invariant feature information of the image based on color invariance to match animation scene images so as to realize image annotation. Background technique [0002] Traditional cartoons are mainly completed manually from production to production. A large number of animation scene images are generated during the production process. Since these images do not have any labeling information, a large amount of scene materials are often wasted. If animation scenes can be By automatically labeling images, you can ...

AI Technical Summary

Problems solved by technology

At present, there is still a lack of accurate and fast description features in image matching, and there is a lack of fast image matching methods that integrate global features and local features.

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