This dataset contains image features extracted from a Corel image collection. Four sets of features are available based on the color histogram, color histogram layout, color moments, and co-occurence texture.
Michael Ortega-Binderberger Information and Computer Science University of California at Irvine Irvine, CA 92697-3425 USA firstname.lastname@example.org
Kriengkrai Porkaew and Sharad Mehrotra Information and Computer Science University of California at Irvine Irvine, CA 92697-3425 USA email@example.com,firstname.lastname@example.orgDate Donated: July 1, 1999
The original image collection was obtained from Corel at http://corel.digitalriver.com/. There are 68,040 photo images from various categories. Here are examples of the images (jpg thumbnail):
From each image four sets of features were extracted:
Each set of features is stored in a separate file. For each file, a line corresponds to a single image. The first value in a line is is the image ID and the subsequent values are the feature vector (e.g. color histogram, etc.) of the image. The same image has the same ID in all files but the image ID is not the same as the image filename.
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Mehrotra, and Thomas S. Huang, Supporting Ranked Boolean Similarity Queries in MARS, IEEE Transaction on Knowledge and Data Engineering, Vol. 10, No. 6, Pages 905-925, December 1998.
Kaushik Chakrabarti, and Sharad Mehrotra, The Hybrid Tree: An Index Structure for High Dimensional Feature Spaces, 1999 IEEE International Conference on Data Engineering (ICDE), Pages 440-447, February, 1999.
Kriengkrai Porkaew, Kaushik Chakrabarti, and Sharad Mehrotra, Query Refinement for Multimedia Retrieval and its Evaluation Techniques in MARS, 1999 ACM International Multimedia Conference, Orlando, Florida, Oct 30 - Nov 4, 1999.
Kaushik Chakrabarti, Kriengkrai Porkaew, and Sharad Mehrotra, Efficient Query Refinement in Multimedia Databases, Submitted for publication,
Database Research Group at UCI