An object recognition system for automatic image annotation and browsing of object catalogs

ABSTRACT

The MEMORI system automatically detects and recognizes rescaled and/or rotated versions of objects from a database within digital color images with cluttered background. This paper describes the system's architecture and the methods implemented within, and its use as a tool for the automatic annotation and browsing of digital images of web furniture catalogs.

REFERENCES

• 1: C. Andreatta. CBIR techniques for object recognition. Tech. Rep., ITC-irst T04-12-01, December 2004.
• 2: R. Brunelli and O. Mich. Image retrieval by examples. IEEE Transactions on Multimedia, 2(3), 2000.
• 3: Pedro F. Felzenszwalb , Daniel P. Huttenlocher, Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, v.59 n.2, p.167-181, September 2004 [doi>10.1023/B:VISI.0000022288.19776.77]
• 4: M. Lecca. Object recognition in color images by the self configuring system memori. Int. Journal of Signal Processing, 3(3), 2006.
• 5: John R. Smith , Shih-Fu Chang, VisualSEEk: a fully automated content-based image query system, Proceedings of the fourth ACM international conference on Multimedia, p.87-98, November 18-22, 1996, Boston, Massachusetts, United States [doi>10.1145/244130.244151]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

Additional Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis
          Subjects: Object recognition

General Terms:
Algorithms

Keywords:
content-based image retrieval, image annotation, image database browsing, object recognition