Linear generalization regression model based cross-media retrieval method

Abstract

The invention discloses a linear generalization regression model based cross-media retrieval method which includes: extracting semantic features of different model objects, establishing regression relations among models by the aid of the linear generalization regression model to realize mutual conversions of the features of models; estimating posterior probability distribution of the model objects by multi-class Logistic regression algorithm after features are converted; and measuring distance between a calculation test sample and a database sample by distance measurement, and outputting index to obtain the most similar samples of prior N databases. The linear generalization regression model based cross-media retrieval method can cross semantic gaps of different models, protect different models from revealing effective information during converting process to the greatest extent, guarantee effectiveness of information transmission of different models accordingly, improve robustness and accuracy for cross-media retrieval further, and has good application prospect and considerable marketing value.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a cross-media retrieval method based on a linear generalization regression model. Background technique [0002] Human beings are now living in the era of information explosion. Human beings can use Internet search engines such as Google (http: / / www.google.com) and Baidu (http: / / www.baidu.com) to search for the articles and pictures they want. , music and movies. However, at present, Internet users mainly obtain the information they need through keyword searches. This limitation is mainly due to the fact that search engines cannot understand the interrelationships between heterogeneous modal media, thus limiting the development of search engines. As we all know, Internet search engines have huge market value, how to enhance the performance of search engines to attract more users and customers will be the key to the development of next-generation search engines and the way to su...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems existing in the existing cross-media search engine technology, especially in order to solve the problem of the effectiveness of information transmission in different multimedia modes at the present stage, the present invention provides a cross-media retrieval method based on a linear generalization regression model, which includes The following steps:

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