Trademark identification searching method for multiple combined contents

Abstract

The invention belongs to the field of multimedia information searching, and particularly discloses a trademark identification searching method for multiple combined contents. The trademark identification searching method for the multiple combined contents aims to overcome the defect that identification result errors are large in the prior art. According to the trademark identification searching method for the multiple combined contents, first, each trademark picture in a model data base is cut to obtain a character part and a figure part, and then characteristic information of two parts are respectively extracted, and characteristic data of all pictures and characters are respectively merged to generate a picture characteristic data base and a character characteristic data base; secondly, trademark image characteristics match with characteristics in characteristic data bases according to a similarity measurement mechanism of images of the multiple combined contents, the similarity distance between a target picture and each trademark model is worked out to obtain a primary identification and searching result, and the result is input to a user; afterwards, second processing is conducted on the primary identification result through a user feedback mechanism, and a final identification and searching result is obtained.

Description

Technical field: [0001] The invention belongs to the field of multimedia information retrieval, in particular to a method for identifying and retrieving trademarks for multi-combination contents. Background technique : [0002] The recognition and retrieval of trademark images is a hot issue in the field of multimedia information retrieval, and many institutions at home and abroad are working on this aspect of research. Although image recognition and retrieval methods are diverse, their core issues are around feature extraction and classifier design, both of which directly determine the performance of the recognition system. In the past few decades, many different shape matching algorithms have been researched and implemented. People just need a fast and effective method for identifying and retrieving multi-combined trademarks. In foreign published literature, Serge Belongie, Jitendra Malik, Jan Puzicha. "Shape Matching and Objects Recognition Using Shape Contexts", In "...

AI Technical Summary

Problems solved by technology

[0006] The present invention is to provide a trademark identification and retrieval method for multi-combination content to overcome the problem of large errors in identification results in the prior art

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