Local descriptor compression method and device

A technology of local descriptors and compression methods, which is applied to computer components, character and pattern recognition, instruments, etc., can solve the problems of image retrieval speed and accuracy limitations, compressed images lose information, and occupy a large memory space, etc., to improve retrieval The effect of speed and accuracy, reduced computational complexity, and good scalability

Active Publication Date: 2015-09-16
ZTE CORP +1
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Problems solved by technology

[0006] However, the above-mentioned first image retrieval method has complex calculations and huge codebooks in the local descriptor compression process, making the entire retrieval process take a long time and occupy a large memory space. At the same time, the compressed local descriptors do not have the compression ratio and The controllability of compression accuracy often leads to loss of information or excessive bandwidth usage, resulting in greater compression loss, resulting in poor retrieval results or long retrieval response time
Therefore, the image compression algorithm has limited capabilities and the image retrieval method has a high amount of calculation. For low-performance mobile devices, the pro

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  • Local descriptor compression method and device

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Embodiment Construction

[0032] In the embodiment of the present invention, one or more local descriptors of the target image are selected; multi-level vector quantization is performed on the selected local descriptors according to a preset codebook, and the local descriptors are quantized into codebooks corresponding to the The selected local descriptor is the nearest codeword.

[0033] Wherein, the codeword is a basic vector having the same dimension as the currently selected local descriptor, and the image descriptor is expressed by using the basic vector for the image, which can occupy a smaller space than the local descriptor, thereby achieving a compression effect. For example, for a two-dimensional local descriptor, there are two codewords in the codebook (0, 0) (1, 1), and the nearest point of a local descriptor is (0, 0), it is quantized as (0, 0); the closest point on the distance is (1, 1), so it is quantized as (1, 1). In the process of expression, it can be expressed by the frequency of ...

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Abstract

A method for compressing a local feature descriptor is provided in an embodiment of the present invention. The method comprises: selecting from a target image one local feature descriptor or a plurality thereof; according to a preset codebook, carrying out multistage vector quantization on the selected local feature descriptor, and quantizing same as a feature codestream, said codestream comprising serial numbers of codewords obtained by means of the multistage vector quantization. A device for compressing a local feature descriptor and a storage medium are also provided in embodiments of the present invention.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a local descriptor compression method and device. Background technique [0002] With the popularization of smart devices and mobile Internet, the application of mobile visual search is becoming more and more extensive. Among them, the relevant techniques of local descriptors have been widely used in mobile visual search. In the existing technology, image retrieval often needs to query and match through local descriptors, but due to limitations such as bandwidth, memory, and computing power, local descriptors often need to be compressed to achieve the purpose of compact expression; at the same time , the scale of the image database is getting larger and larger, and it is also necessary to compress the local descriptors of the database image to reduce disk consumption. [0003] Currently, image retrieval methods based on mobile devices include the following two: [0004]...

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Application Information

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IPC IPC(8): H04N19/124H04N19/13H04N19/60G06T9/00G06F17/30
CPCG06F16/51G06V10/462G06V10/763G06V10/7715G06F18/23213G06F18/2135G06F18/2411H04N19/91H04N19/94
Inventor 段凌宇陆平陈杰贾霞王一同刘明黄铁军
Owner ZTE CORP
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