Image Indexing Based On Mpeg-7 Scalable Color Descriptor

The MPEG-7 standard defines a set of descriptors that extract low-level features such as color, texture and object shape from an image and generate metadata that represents the extracted information. In this paper we propose a new image retrieval technique for image indexing based on the MPEG-7 scalable color descriptor. We use some specifications of the scalable color descriptor (SCD) for the implementation of the color histograms. The MPEG-7 standard defines 1 l norm − based matching in the SCD. But in our approach, for distance measurement, we achieve a better result by using cosine similarity coefficient for color histograms. This approach has significantly increased the accuracy of obtaining results for image retrieval. Experiments based on scalable color descriptors are illustrated. We also present the color spaces supported by the different image and video coding standards such as JPEG-2000, MPEG-1, 2, 4 and MPEG-7. In addition, this paper outlines the broad details of MPEG-7 Color Descriptors.

[1]  Sameer Singh,et al.  Minerva scene analysis benchmark , 2001, The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001.

[2]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Alberto Del Bimbo,et al.  Visual information retrieval , 1999 .

[4]  Thierry Pun,et al.  Performance evaluation in content-based image retrieval: overview and proposals , 2001, Pattern Recognit. Lett..

[5]  Iain E. G. Richardson,et al.  Video CODEC Design , 2002 .

[6]  B. S. Manjunath,et al.  Introduction to MPEG-7: Multimedia Content Description Interface , 2002 .

[7]  Ian H. Witten,et al.  Managing gigabytes , 1994 .

[8]  Alex Pentland,et al.  Photobook: Content-based manipulation of image databases , 1996, International Journal of Computer Vision.

[9]  T.S. Huang,et al.  A relevance feedback architecture for content-based multimedia information retrieval systems , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[10]  Jitendra Malik,et al.  Blobworld: A System for Region-Based Image Indexing and Retrieval , 1999, VISUAL.

[11]  C. Frankel,et al.  Distinguishing photographs and graphics on the World Wide Web , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[12]  Azriel Rosenfeld,et al.  Computer Vision , 1988, Adv. Comput..

[13]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[14]  Thomas Sikora,et al.  The MPEG-7 visual standard for content description-an overview , 2001, IEEE Trans. Circuits Syst. Video Technol..

[15]  S. Sclaroff,et al.  ImageRover: a content-based image browser for the World Wide Web , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[16]  MüllerHenning,et al.  Performance evaluation in content-based image retrieval , 2001 .

[17]  Ming Ma,et al.  A Content-based Image Retrieval using FFT & Cosine Similarity Coefficient , 2003, Signal and Image Processing.