Exploiting monge structures in optimum subwindow search

Optimum subwindow search for object detection aims to find a subwindow so that the contained subimage is most similar to the query object. This problem can be formulated as a four dimensional (4D) maximum entry search problem wherein each entry corresponds to the quality score of the subimage contai...

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Main Authors: An, Senjian, Peursum, Patrick, Liu, Wan-quan, Venkatesh, Svetha, Chen, Xiaoming
Other Authors: L. Davis
Format: Conference Paper
Published: IEEE 2010
Online Access:http://hdl.handle.net/20.500.11937/21373
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author An, Senjian
Peursum, Patrick
Liu, Wan-quan
Venkatesh, Svetha
Chen, Xiaoming
author2 L. Davis
author_facet L. Davis
An, Senjian
Peursum, Patrick
Liu, Wan-quan
Venkatesh, Svetha
Chen, Xiaoming
author_sort An, Senjian
building Curtin Institutional Repository
collection Online Access
description Optimum subwindow search for object detection aims to find a subwindow so that the contained subimage is most similar to the query object. This problem can be formulated as a four dimensional (4D) maximum entry search problem wherein each entry corresponds to the quality score of the subimage contained in a subwindow. For n x n images, a naive exhaustive search requires O(n4) sequential computations of the quality scores for all subwindows. To reduce the time complexity, we prove that, for some typical similarity functions like Euclidian metric, X2 metric on image histograms, the associated 4D array carries some Monge structures and we utilise these properties to speed up the optimum subwindow search and the time complexity is reduced to O(n3). Furthermore, we propose a locally optimal alternating column and row search method with typical quadratic time complexity O(n2). Experiments on PASCAL VOC 2006 demonstrate that the alternating method is significantly faster than the well known efficient subwindow search (ESS) method whilst the performance loss due to local maxima problem is negligible.
first_indexed 2025-11-14T07:38:57Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:38:57Z
publishDate 2010
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-213732023-01-13T07:56:30Z Exploiting monge structures in optimum subwindow search An, Senjian Peursum, Patrick Liu, Wan-quan Venkatesh, Svetha Chen, Xiaoming L. Davis J. Malik Optimum subwindow search for object detection aims to find a subwindow so that the contained subimage is most similar to the query object. This problem can be formulated as a four dimensional (4D) maximum entry search problem wherein each entry corresponds to the quality score of the subimage contained in a subwindow. For n x n images, a naive exhaustive search requires O(n4) sequential computations of the quality scores for all subwindows. To reduce the time complexity, we prove that, for some typical similarity functions like Euclidian metric, X2 metric on image histograms, the associated 4D array carries some Monge structures and we utilise these properties to speed up the optimum subwindow search and the time complexity is reduced to O(n3). Furthermore, we propose a locally optimal alternating column and row search method with typical quadratic time complexity O(n2). Experiments on PASCAL VOC 2006 demonstrate that the alternating method is significantly faster than the well known efficient subwindow search (ESS) method whilst the performance loss due to local maxima problem is negligible. 2010 Conference Paper http://hdl.handle.net/20.500.11937/21373 IEEE fulltext
spellingShingle An, Senjian
Peursum, Patrick
Liu, Wan-quan
Venkatesh, Svetha
Chen, Xiaoming
Exploiting monge structures in optimum subwindow search
title Exploiting monge structures in optimum subwindow search
title_full Exploiting monge structures in optimum subwindow search
title_fullStr Exploiting monge structures in optimum subwindow search
title_full_unstemmed Exploiting monge structures in optimum subwindow search
title_short Exploiting monge structures in optimum subwindow search
title_sort exploiting monge structures in optimum subwindow search
url http://hdl.handle.net/20.500.11937/21373