Image copying detection method based on local digital fingerprint

Abstract

The invention discloses an image copying detection method based on local digital fingerprint, which comprises the following steps that: local SIFI features are extracted from each image in a tested image library, local digital fingerprint conversion is carried out to the high-dimensional SIFT feature vector and the frequency of the fingerprint in each image is calculated so as to establish a digital fingerprint database; and when the image is inquired, the SIFT features are first extracted from the inquired image and then converted into the digital fingerprint and the information of unreliable positions during the conversion process, then inquiry is carried out in an inverted index structure in a tested fingerprint library by integrating the unreliable information so as to quickly obtain and inquire a tested image set associated with the local digital fingerprint of the inquired image, measure the similarity of the inquired image and the associated tested image and judge whether is image is copied. In the detection of the copying performance, the method has very good recall rate and precision; and in detecting the copying efficiency, the method can also detect the copying of the inquired image.

Description

technical field [0001] The invention belongs to the technical field of multimedia information security, and in particular relates to an image copy detection method based on partial digital fingerprints. Background technique [0002] In recent years, the development of communication, computer and network technology has made the exchange of multimedia information reach an unprecedented depth and breadth. At the same time, the media of multimedia data is also increasing, allowing people to enjoy the convenience of digital life at any time, but it brings a series of problems: extensive copyright infringement, illegal copying and distribution, tampering, and data leakage, etc. . Therefore, how to ensure that the majority of Internet users can fully enjoy the convenience of the Internet and at the same time effectively protect the intellectual property rights of digital content has become a serious problem for digital products and network applications. [0003] At present, there...

AI Technical Summary

Problems solved by technology

At the same time, the media of multimedia data is also increasing, allowing people to enjoy the convenience of digital life at any time, but it brings a series of problems: extensive copyright infringement, illegal copying and distribution, tampering, and data leakage, etc.

Although the SIFT feature has many excellent characteristics, it still has the following deficiencies: (1) Feature detection requires many convolution operations because it needs to search the multi-scale space. Slow; (2) SIFT feature is initially applied to target recognition, so it needs to be able to detect as many feature points as possible, but these large number of features will lead to an increase in feature matching time; (3) SIFT feature set is not very significant, set There are still some unstable points in

Although indexing technology has also been extensively studied, the time efficiency of index construction and query for high-dimensional data is still not good, so it is necessary to transform image features and use more mature index structures for query, and then to Guaranteed detection accuracy and detection efficiency

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