NeTra: A toolbox for navigating large image databases

W. Y. Ma; B. S. Manjunath

doi:10.1109/icip.1997.647976

NeTra: A toolbox for navigating large image databases

W. Y. Ma
, B. S. Manjunath

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

434 Citations (Scopus)

Abstract

We present here an implementation of NeTra, a prototype image retrieval system that uses color, texture, shape and spatial location information in segmented image regions to search and retrieve similar regions from the 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. Another 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.
© 1997 IEEE

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Publisher	IEEE Computer Society
Pages	568-571
Volume	1
DOIs	https://doi.org/10.1109/icip.1997.647976
Publication status	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: 26 Oct 1997 → 29 Oct 1997

Conference

Conference	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
City	Santa Barbara, CA, USA
Period	26/10/97 → 29/10/97

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Access Output

10.1109/icip.1997.647976

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{dae8196d3da64e64963e9252b13ac572,

title = "NeTra: A toolbox for navigating large image databases",

abstract = "We present here an implementation of NeTra, a prototype image retrieval system that uses color, texture, shape and spatial location information in segmented image regions to search and retrieve similar regions from the 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. Another 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. {\textcopyright} 1997 IEEE",

author = "Ma, \{W. Y.\} and Manjunath, \{B. S.\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) ; Conference date: 26-10-1997 Through 29-10-1997",

year = "1997",

doi = "10.1109/icip.1997.647976",

language = "English",

volume = "1",

pages = "568--571",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE Computer Society",

address = "United States",

}

TY - GEN

T1 - NeTra

T2 - Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)

AU - Ma, W. Y.

AU - Manjunath, B. S.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1997

Y1 - 1997

N2 - We present here an implementation of NeTra, a prototype image retrieval system that uses color, texture, shape and spatial location information in segmented image regions to search and retrieve similar regions from the 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. Another 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. © 1997 IEEE

AB - We present here an implementation of NeTra, a prototype image retrieval system that uses color, texture, shape and spatial location information in segmented image regions to search and retrieve similar regions from the 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. Another 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. © 1997 IEEE

UR - https://www.scopus.com/pages/publications/0031358105

UR - https://www.scopus.com/pages/publications/0031358105#tab=impact

U2 - 10.1109/icip.1997.647976

DO - 10.1109/icip.1997.647976

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 1

SP - 568

EP - 571

BT - IEEE International Conference on Image Processing

PB - IEEE Computer Society

Y2 - 26 October 1997 through 29 October 1997

ER -

NeTra: A toolbox for navigating large image databases

Abstract

Conference

Bibliographical note

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this