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Characteristic encoding method for recognizing digital image content

A content recognition and feature coding technology, which is applied in image coding, character and pattern recognition, image data processing, etc., can solve the problems of image hash robustness limitations, scalar quantizer feature disturbance sensitivity, etc., to reduce hash storage Space, easy to implement, low computational complexity effects

Active Publication Date: 2015-03-04
TIANJIN UNIV
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Problems solved by technology

Image processing operations will lead to changes in features, and scalar quantizers are sensitive to feature disturbances, which leads to limitations in the robustness of image hashing

Method used

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  • Characteristic encoding method for recognizing digital image content
  • Characteristic encoding method for recognizing digital image content
  • Characteristic encoding method for recognizing digital image content

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0021] In order to achieve a brief and robust description of image content, an embodiment of the present invention proposes a feature encoding method for image content recognition, see figure 1 and figure 2 , see the description below:

[0022] 101: Divide the input image feature sequence into feature vectors with a fixed length, and use sparse coding to obtain a sparse description of each feature vector;

[0023] Wherein the steps are specifically:

[0024] 1) For the input feature sequence V={v 1 ,...,v N} for vectorization, and split the feature sequence into a series of feature vectors with dimension M: y i , i=1,2,...,N / M. Specific values ​​of M and N are set according to requirements in practical applications, and are not limited in this embodiment of the present in...

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Abstract

The invention discloses a characteristic encoding method for recognizing digital image content, and relates to the technical field of signal and information processing. The method comprises the following steps: dividing an input image characteristic sequence into characteristic vectors with fixed length; acquiring sparse description of each characteristic vector by utilizing a sparse code; extracting an atomindex with the maximum weight from the sparse description of each characteristic vector; performing binaryzation processing for the index sequence; creating an atomic weight histogram; performing binaryzation processing; combining the binary sequences produced by the atomindex and atomic weight histogram to form image hash. With the adoption of the method, the characteristic vector of the image can be mapped to be a simple and short binary hash sequence, and the calculation complexity is small; in addition, the produced image hash is able to resist the content distortion caused by the image processing, and thus the image content can be efficiently and accurately recognized.

Description

technical field [0001] The invention relates to the technical field of signal and information processing, in particular to a feature encoding method for digital image content identification. Background technique [0002] In recent years, the rapid development of social networks and the popularity of low-cost image sensors (such as built-in cameras in mobile phones) have greatly enriched digital image resources, and the number of digital images has shown a surge. Massive image resources put forward an urgent need for efficient query, indexing, and copyright management technologies. The core issue is the identification of image-sensing content, and the basis of content identification is the description of image-sensing content. To achieve accurate content recognition, image descriptors need to be robust, discriminative, and concise. Robustness means that after the image is processed (such as compression, filtering and adding noise, etc.), its descriptor remains stable. Discr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/38
CPCG06T9/008
Inventor 李岳楠王萍苏育挺
Owner TIANJIN UNIV
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