Contemporary integration of content based image retrieval

Riaz Ahmed Shaikh, Jian Ping Li, Asif Khan, Samundra Deep, Kamlesh Kumar, Imran Memon

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

12 Citations (Scopus)

Abstract

Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.

Original languageEnglish
Title of host publicationICCWAMTIP 2014
Subtitle of host publication2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages301-304
Number of pages4
ISBN (Electronic)9781479972081
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 - Sichuan Province, Chengdu, China
Duration: 19 Dec 201421 Dec 2014

Other

Other2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014
CountryChina
CitySichuan Province, Chengdu
Period19/12/1421/12/14

Keywords

  • Content Based Image Retrieval
  • neural network
  • computer vision
  • complex database
  • feature extraction

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