CBIR with Perceptual Region Features

M Mirmehdi; R Perissamy

CBIR with Perceptual Region Features

M Mirmehdi
, R Perissamy

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse representation of the image, generated by a multi-band smoothing algorithm based on human psychophysical measurements of colour appearance. Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.

Translated title of the contribution	CBIR with Perceptual Region Features
Original language	English
Title of host publication	Unknown
Editors	T Cootes, C Taylor
Publisher	BMVA Press
Pages	511 - 520
Number of pages	9
ISBN (Print)	1901725162
Publication status	Published - Sept 2001

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the 12th British Machine Vision Conference

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@inproceedings{b28455a4b3bc4a67981bfa1e6b7fb804,

title = "CBIR with Perceptual Region Features",

abstract = "A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse representation of the image, generated by a multi-band smoothing algorithm based on human psychophysical measurements of colour appearance. Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.",

author = "M Mirmehdi and R Perissamy",

note = "Conference Proceedings/Title of Journal: Proceedings of the 12th British Machine Vision Conference",

year = "2001",

month = sep,

language = "English",

isbn = "1901725162",

pages = "511 -- 520",

editor = "T Cootes and C Taylor",

booktitle = "Unknown",

publisher = "BMVA Press",

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T1 - CBIR with Perceptual Region Features

AU - Mirmehdi, M

AU - Perissamy, R

N1 - Conference Proceedings/Title of Journal: Proceedings of the 12th British Machine Vision Conference

PY - 2001/9

Y1 - 2001/9

N2 - A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse representation of the image, generated by a multi-band smoothing algorithm based on human psychophysical measurements of colour appearance. Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.

AB - A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse representation of the image, generated by a multi-band smoothing algorithm based on human psychophysical measurements of colour appearance. Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.

M3 - Conference Contribution (Conference Proceeding)

SN - 1901725162

SP - 511

EP - 520

BT - Unknown

A2 - Cootes, T

A2 - Taylor, C

PB - BMVA Press

ER -

CBIR with Perceptual Region Features

Abstract

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