Corel Image Features

Data Type



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.


Original Owner

Michael Ortega-Binderberger
Information and Computer Science
University of California at Irvine
Irvine, CA 92697-3425


Kriengkrai Porkaew and Sharad Mehrotra
Information and Computer Science
University of California at Irvine
Irvine, CA 92697-3425
Date Donated: July 1, 1999

Data Characteristics

The original image collection was obtained from Corel at 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:

Color Histogram: 32 dimensions (8 x 4 = H x S)

Color Histogram Layout: 32 dimensions (4 x 2 x 4 = H x S x sub-images)

Color Moments: 9 dimensions (3 x 3)

Co-occurrence Texture: 16 dimensions (4 x 4)

Data Format

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.

Past Usage

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.

Acknowledgements, Copyright Information, and Availability

This data may be used for non-commercial purposes only.

References and Further Information

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

The UCI KDD Archive
Information and Computer Science
University of California, Irvine
Last modified: July 6, 1999