Information recommendation method and system combining image content and keywords

A technology for image content and information recommendation, which is applied in the fields of digital data processing, character and pattern recognition, and special data processing applications, and can solve problems such as heavy workload and inaccurate retrieval results.

Active Publication Date: 2014-01-29
TCL CORPORATION
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Problems solved by technology

[0007] In view of the deficiencies in the prior art above, the purpose of the present invention is to provide an information recommendation method and syste

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  • Information recommendation method and system combining image content and keywords
  • Information recommendation method and system combining image content and keywords
  • Information recommendation method and system combining image content and keywords

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Embodiment Construction

[0061] The present invention provides an information recommendation method and system combining image content and keywords. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0062] see figure 1 , figure 1 It is a flow chart of a preferred embodiment of the information recommendation method combining image content and keywords in the present invention, as shown in the figure, which includes:

[0063] S101. Extract the keyword information of the pictures in the picture library and the image content information including color features and texture features, express the keyword information and image content information into a vector space model, and obtain the corresponding keyword information matrix and imag...

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Abstract

The invention discloses an information recommendation method and system combining image content and keywords. The information recommendation method combining image content and keywords comprises the steps that keyword information of images in an image library and image content information containing color features and textural features are extracted, the keyword information and the image content information are expressed as a vector space model, and a corresponding keyword information matrix and an image content information matrix are obtained; the keyword information matrix and the image content information matrix are processed by utilizing a linear sparse model, and a similarity chart is obtained by calculating the similarity among the images; an image similar to a target image is inquired from the similarity chart according to the target image searched by a user, and an original recommendation list is formed; the original recommendation list is arranged to obtain a final recommendation list, and the final recommendation list is displayed.

Description

technical field [0001] The invention relates to the fields of image retrieval and information recommendation, in particular to an information recommendation method and system combining image content and keywords. Background technique [0002] With the rapid development of the Internet and e-commerce, the multimedia information on the Internet is also growing explosively, so people have more and more retrieval requirements for multimedia information, such as online shopping, social networking, video sharing platforms, etc. Retrieve multimedia information. Multimedia information on the Internet usually includes images, audio and video. Among them, image retrieval is a hot spot and trend of Internet applications, especially e-commerce. For example, only by using the information of the picture itself to retrieve related products, on the one hand, it is convenient for users to query, and on the other hand, it helps the system to make recommendations to users effectively. [00...

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Application Information

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IPC IPC(8): G06F17/30G06K9/46
CPCG06F16/5838G06F16/5866G06F16/9535G06V10/50G06V10/44
Inventor 李朝汪灏泓鲁梦平朱秋莎
Owner TCL CORPORATION
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