Real-time image content retrieval system and image feature extraction method

A real-time image and retrieval system technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the limitation of operation parallelism, lack of circuits and feature extraction methods, and the inability of parallelism and speed of special multimedia processors. Meet the problems of real-time retrieval of a large number of images, and achieve the effect of high-speed extraction and matching

Active Publication Date: 2009-11-11
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity of the DSP structure, its operation parallelism is limited, and it does not have optimized circuits and feature extraction methods for image

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time image content retrieval system and image feature extraction method
  • Real-time image content retrieval system and image feature extraction method
  • Real-time image content retrieval system and image feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the purpose, solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0068] Such as figure 1 As shown, the all-parallel image processor consists of two-dimensionally arranged PE arrays, I / O ports and feature matching circuits. In this embodiment, the size of the PE array is 128×128. The PE array is controlled by 16-bit common instructions. The characteristic matching circuit is made up of 64 multipliers of 8×8bit and one 4 parallel adders of 16 inputs and 8 bits. In this embodiment, the feature vectors generated by the PE array are 64 8-bit values, and the matching degree of the image is obtained after the variance operation is performed by the feature matching circuit.

[0069] Such as figure 2 As shown, each PE contains arithmetic logic unit, SRAM memory and multiplexer. In this embodime...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a real-time image content retrieval system based on full-parallel image processors. The system comprises a full-parallel array processor, an auxiliary input/output device, a control device, a computer and image retrieval software, wherein the full-parallel processor is utilized to perform large-scale parallel operation so as to ensure that the speed of extracting and matching image features is much higher than that of usual computer-based software methods and then realize real-time image content retrieval. The invention also discloses an image feature extraction method suitable to realize parallel processing. The method is suitable for parallel processing on hardware and cannot be affected by the changes of the average brightness of images. By utilizing the invention, the image content retrieval system can realize the real-time exact matching and retrieval of a large number of image data.

Description

technical field [0001] The invention relates to the technical field of image processing chips and image content retrieval, in particular to a real-time image content retrieval system based on a fully parallel image processor and an image feature extraction method suitable for parallel processing. Background technique [0002] Content-based Image Retrieval (CBIR) is of great significance in the fields of human-computer interaction, machine vision and search engines. The main features of image extraction in current content-based image retrieval methods include color distribution, spatial structure, granularity, texture distribution, and shape. CBIR can enhance the correctness of traditional text-based image retrieval. Usually, the features of the image are calculated by software and stored in the database to be matched with the features of the image to be retrieved. [0003] One application of CBIR is to hope that the retrieval system can understand the content of the image ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06K9/46
Inventor 张万成林清宇吴南健
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap