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Image search method based on structure semantic histogram

A technology of image retrieval and structural semantics, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems that are not suitable for the requirements of the times

Inactive Publication Date: 2013-10-02
刘广海
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Problems solved by technology

Generally speaking, image retrieval mainly includes: text-based image retrieval, content-based image retrieval, and semantic-based image retrieval. Text-based image retrieval is no longer suitable for the requirements of the times.

Method used

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  • Image search method based on structure semantic histogram
  • Image search method based on structure semantic histogram
  • Image search method based on structure semantic histogram

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Embodiment Construction

[0064] An image retrieval method based on co-occurrence sparse histogram, comprising the following steps:

[0065] (1) Convert the color image from RGB color space to HSV color space.

[0066] (2) The human visual system has a very outstanding ability to screen information, and can quickly find relevant important information and ignore irrelevant information. This is the visual attention mechanism. Therefore, studying the computational model of the visual attention mechanism can reduce the complexity of image processing , reduce the consumption of computing resources, and greatly improve the efficiency of information processing. In view of the similarity between the HSV color space and human color perception, the present invention defines several primary visual features based on the HSV color space for saliency detection. It consists of H, S and V component images. H, S and V are used to construct Gaussian pyramids H(σ), S(σ) and V(σ), where σ∈[0...5] represents the scale, a...

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Abstract

The invention provides an image search method based on a structure semantic histogram. The method comprises the steps that the advantages based on a visual perception mechanism and a vision vocabulary model are considered for image searching, a novel image feature expressing method of the structure semantic histogram is provided, the structure semantic histogram can be regarded as the distillation of a mainstream vision vocabulary model, is used for analyzing natural images, and has more abundant information than a mainstream vision vocabulary method. The image search method integrates the advantages of vision vocabularies, semantic features and the histogram, simulates a human visual perception mechanism in a certain degree, and can express structure space information, vision significance information and uniform color information of semantic information and the vision vocabularies.

Description

technical field [0001] The invention relates to the field of image retrieval, in particular to an image retrieval method based on a structural semantic histogram. Background technique [0002] Graphic images are the medium of human communication and can provide rich information to let people know and understand the world. With the development of digital image technology and the Internet, more and more images emerge. How to perform image indexing and retrieval efficiently and quickly has become an increasingly urgent need, so image retrieval has become one of the research hotspots in the field of pattern recognition and artificial intelligence. Generally speaking, image retrieval mainly includes: text-based image retrieval, content-based image retrieval and semantic-based image retrieval. Text-based image retrieval is no longer suitable for the requirements of the times. Given the current limitations of artificial intelligence and related technologies, semantic-based image ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 刘广海
Owner 刘广海
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