NeTra: a toolbox for navigating large image databases
- 23 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 568-571 vol.1
- https://doi.org/10.1109/icip.1997.647976
Abstract
We present an implementation of NeTra, a prototype image retrieval system that uses color texture, shape and spatial location information in segmented image database. A distinguishing aspect of this system is its incorporation of a robust automated image segmentation algorithm that allows object or region based search. Image segmentation significantly improves the quality of image retrieval when images contain multiple complex objects. Other important components of the system include an efficient color representation, and indexing of color, texture, and shape features for fast search and retrieval. This representation allows the user to compose interesting queries such as "retrieve all images that contain regions that have the color of object A, texture of object B, shape of object C, and lie in the upper one-third of the image" where the individual objects could be regions belonging to different images.Keywords
This publication has 9 references indexed in Scilit:
- Similarity indexing with the SS-treePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Edge flow: A framework of boundary detection and image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tools for texture- and color-based search of imagesPublished by SPIE-Intl Soc Optical Eng ,1997
- Virage image search engine: an open framework for image managementPublished by SPIE-Intl Soc Optical Eng ,1996
- VisualSEEkPublished by Association for Computing Machinery (ACM) ,1996
- Texture features for browsing and retrieval of image dataIeee Transactions On Pattern Analysis and Machine Intelligence, 1996
- An experimental comparison of autoregressive and Fourier-based descriptors in 2D shape classificationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
- Photobook: tools for content-based manipulation of image databasesPublished by SPIE-Intl Soc Optical Eng ,1994
- QBIC project: querying images by content, using color, texture, and shapePublished by SPIE-Intl Soc Optical Eng ,1993