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Performance evaluation of image retrieval using energy compaction and imagetiling over DCT row mean and DCT column mean

  • H. B. Kekre
  • Sudeep D. Thepade
  • Archana Athawale
  • Anant Shah
  • Prathamesh Verlekar
  • Suraj Shirke
Conference paper

Abstract

Content-based image retrieval (CBIR) is a technique to retrieve images on the basis of image specific features such as colour [5, 17, 19], texture [11, 14, 16, 23] and shape [2, 4]. CBIR operates on a totally different principle from keyword indexing. Initially, features are computed for both stored and query images, and used to identify images most closely matching the query. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers [24] and art historians. While the requirements of image users can vary considerably, it can be useful to characterize image queries into three levels of abstraction: primitive features such as colour or shape, logical features such as the identity of objects shown and abstract attributes such as the texture of image depicted [12, 15, 18]. Users needing to retrieve images from a collection come from a variety of domains, including crime prevention [13, 20], medicine, architecture [6, 9, 10, 21, 22], fashion and publishing. Many techniques have been proposed for content based image retrieval, but still there is thirst for better performance [1, 3] and faster retrieval [1, 7, 8].

Keywords

Feature Vector Discrete Cosine Transform Image Retrieval Query Image Energy Compaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India Pvt. Ltd 2011

Authors and Affiliations

  • H. B. Kekre
    • 1
  • Sudeep D. Thepade
    • 2
  • Archana Athawale
    • 2
  • Anant Shah
    • 3
  • Prathamesh Verlekar
    • 3
  • Suraj Shirke
    • 3
  1. 1.MPSTME, SVKM’s NMIMSMumbaiIndia
  2. 2.MPSTME, SVKM’s NMIMSMumbaiIndia
  3. 3.Thadomal Shahani Engineering CollegeMumbaiIndia

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