Inchoative integration of content based image retrieval: Shodhani

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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during recent years covering various methods for segmentation, feature extraction, indexing and feature transformation are described. Also, a technique of combining feature transformation with clustering algorithm is proposed for efficient image retrieval.

Original languageEnglish
Title of host publication2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages289-292
Number of pages4
ISBN (Electronic)9781479972081
ISBN (Print)9781479972074
DOIs
Publication statusPublished - 30 Mar 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

  • Contents Based Image Retrieval
  • Feature Extraction
  • Image Segmentation

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