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» Boosting Object Detection Using Feature Selection
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149
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PCM
2001
Springer
145views Multimedia» more  PCM 2001»
15 years 9 months ago
Color Content Matching of MPEG-4 Video Objects
Abstract. Color histogram is one of the most widely used visual feature representations in content-based retrieval. When processing the image/video data in the JPEG/MPEG compressed...
Berna Erol, Faouzi Kossentini
ECCV
2010
Springer
15 years 7 months ago
Avoiding confusing features in place recognition
We seek to recognize the place depicted in a query image using a database of “street side” images annotated with geolocation information. This is a challenging task due to chan...
174
Voted
PAMI
2008
220views more  PAMI 2008»
15 years 5 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer
WWW
2011
ACM
15 years 13 hour ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
CVIU
2008
144views more  CVIU 2008»
15 years 5 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....