An Efficient Approach to Improve Retrieval Rate in Content Based Image Retrieval Using MPEG-7 Features

  • K. Srujan Raju
  • K. Sreelatha
  • Shriya Kumari
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 249)


Content Based Image Retrieval is a technique of automatic indexing and retrieving of images .In order to improve the retrieval performance of images, this paper proposes an efficient approach for extracting and retrieving color images. The block diagram of our proposed approach to content-based image retrieval (CBIR) is given first, and then we introduce Histogram Euclidean distance (L2 distance) ,Cosine Distance and Histogram Intersection which are used to measure the image level similarity . The combined features of finding a set of weights of different distances represented by mini-max algorithm is used to declare the best match to the query image. Query images are used to retrieve images similar to the query image .Comparison and analysis of performance evaluation for features and similarity measures for the retrieved images with ground truth are shown. This proposed retrieval approach demonstrates a promising performance. Experiment shows that combined features are superior to any one of the three.


Content Based Image Retrieval Edge Histogram Descriptor(EHD) L2 distance Cosine Distance Histogram Intersection mini-max algorithm MPEG-7 


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  1. 1.
    Shi, D.C., Xu, L., Han, U.: Image retrieval using both color and texture features. The Journal Of China Universities Of Posts and Telecommunications 14 Supplement, Article ID 1005-8885 (October 2007), S1-0094-06 Google Scholar
  2. 2.
    Won, C.S., Park, D.K., Park, S.-J.: Efficient use of MPEG-7 Edge Histogram Descriptor. ETRI Journal 24(1) (February 2002)Google Scholar
  3. 3.
    Tahoun, M.A., Nagaty, K.A., El-Arief, T.I., Mohammed, M.A.-M.: A Robust Content-Based Image Retrieval System Using Multiple Features Representations. IEEE (2005)Google Scholar
  4. 4.
    Bormane, D.S., Madugunki, M., Bhadoria, S., Dethe, C.G.: Comparison of Different CBIR Techniques. In: 2011 IEEE Conference, RSCOE, Pune, India (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.CMR Technical CampusHyderabadIndia

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