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Space information fused Bag of Words method for retrieving image

A technology of image retrieval and spatial information, which is applied in the field of Bag of Words image retrieval, can solve the problems of low retrieval accuracy and ignoring the spatial information of feature regions, etc.

Active Publication Date: 2012-11-28
EOPLLY NEW ENERGY TECH +1
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AI Technical Summary

Problems solved by technology

[0003] The existing Bag of Words method only considers whether the image contains some prominent feature areas, but ignores the spatial information of the feature areas. Therefore, image retrieval based on the Bag of Words method will cause low retrieval accuracy. Introducing Spatial Information of Feature Regions to Research New Image Retrieval Method

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  • Space information fused Bag of Words method for retrieving image
  • Space information fused Bag of Words method for retrieving image
  • Space information fused Bag of Words method for retrieving image

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Embodiment Construction

[0031] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0032] The hardware environment used for implementation is: AMD 64 X2 Dual Core process 5000+2.6G computer, 2GB memory, 256M graphics card, and the running software environment is: Matlab R2008a and Windows XP. We have realized the method that the present invention proposes with Matlab software. The image data uses 5063 images in the Oxford Build Dataset, and retrieves specific objects in the 55 standard query images provided by it.

[0033] The present invention is specifically implemented as follows:

[0034] 1. Extract the underlying features of each image in the image database. First, perform Gaussian smoothing on each image in the image database, where σ n = 0.5, get the image Choose a different σ=σ 0 2 o+s / S and Doing convolution forms an image pyramid GSS σ , where s=0,...S-1, o=0,...O-1, S=3, O=min(log 2 row, log 2 col), σ 0 =1.5, row represe...

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Abstract

The invention relates to a space information fused Bag of Words method for retrieving an image. The space information fused Bag of Words method is technically characterized in that contents contained in an image are considered to be objects in a real world and the objects have certain shapes and structural characteristics, and the contents contained in the image can be more vividly and accuratelydescribed by fusing space information of a remarkable characteristic area, therefore the better image retrieving effect can be obtained. By using Bag of World to well describe the image, the vector express of the image on an image space base can be obtained; and the structural information among characteristic areas of an image base layer can be better ensured by adding characteristic area space information, so that the retrieving precision of the image can be improved. Therefore, the space information fused Bag of Words method is more suitable for retrieving the image.

Description

technical field [0001] The invention relates to a Bag of Words image retrieval method fused with spatial information, which can be applied to the retrieval of visible light images. Background technique [0002] With the development of multimedia information technology, the storage, compression and retrieval of multimedia information become increasingly important. As an important multimedia information, images contain rich content, just as "a picture is worth a thousand words". Due to the emergence of the underlying SIFT feature of the image, this feature can well reflect some significant areas in the image that are not deformed by rotation and scale. Recently, many image retrieval methods based on SIFT features have emerged, the most common of which is the Bag of Words method. This method first clusters the regions of the SIFT features extracted from the image, and uses the cluster center as the image space. A set of standard bases (standard image regions), and then the im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 韩军伟郭雷刘天明胡新韬许明
Owner EOPLLY NEW ENERGY TECH
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