Central object extraction for object-based image retrieval

  • Authors:

  • Sungyoung Kim;Soyoun Park;Minhwan Kim

  • Affiliations:

  • Dept. of Multimedia, Changwon College, Changwon, Korea;Dept. of Computer Engineering, Pusan National Univ., Pusan, Korea;Dept. of Computer Engineering, Pusan National Univ., Pusan, Korea

  • Venue:
  • CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
  • Year:
  • 2003

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Abstract

An important step in content-based image retrieval is finding an interesting object within an image. We propose a method for extracting an interesting object from a complex background. Interesting objects are generally located near the center of the image and contain regions with significant color distribution. The significant color is the more frequently co-occurred color near the center of the image than at the background of the image. A core object region is selected as a region a lot of pixels of which have the significant color, and then it is grown by iteratively merging its neighbor regions and ignoring background regions. The final merging result called a central object may include different color-characterized regions and/or two or more connected objects of interest. The central objects automatically extracted with our method matched well with significant objects chosen manually.