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Content-based image retrieval at the end of the early years

by Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, Ramesh Jain - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
Abstract - Cited by 1594 (24 self) - Add to MetaCart
for image retrieval systems. Step one of the review is image processing for retrieval sorted by color, texture, and local geometry. Features for retrieval are discussed next, sorted by: accumulative and global features, salient points, object and shape features, signs, and structural combinations thereof

A saliency-based search mechanism for overt and covert shifts of visual attention

by Laurent Itti, Christof Koch , 2000
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Abstract - Cited by 608 (32 self) - Add to MetaCart
Abstract not found

Wavelets and Subband Coding

by Martin Vetterli, Jelena Kovačević , 2007
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Abstract - Cited by 608 (32 self) - Add to MetaCart
Abstract not found

Being There -- Putting Brain, Body, and World Together Again

by Andy Clark , 1997
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Abstract - Cited by 1067 (17 self) - Add to MetaCart
Abstract not found

Chebyshev and Fourier Spectral Methods

by John P. Boyd , 1999
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Abstract - Cited by 778 (12 self) - Add to MetaCart
Abstract not found

GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection

by Massimo Bertozzi, Alberto Broggi - IEEE TRANSACTIONS ON IMAGE PROCESSING , 1998
"... This paper describes the Generic Obstacle and Lane Detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to increment road safety. Based on a full-custom massively parallel hardware, it allows to detect both generic obstacles (without constra ..."
Abstract - Cited by 239 (24 self) - Add to MetaCart
This paper describes the Generic Obstacle and Lane Detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to increment road safety. Based on a full-custom massively parallel hardware, it allows to detect both generic obstacles (without

Automatic Salient Object Detection In UAV Imagery AUTOMATIC SALIENT OBJECT DETECTION IN UAV IMAGERY

by Jan Sokalski, Toby P. Breckon, Ian Cowling
"... Due to the increased use of Unammed Aerial Vehicle (UAV) platforms in land-sea search and surveillance operations a suitable general technique for the automatic extraction of visually significant information is needed in order to augment current human-performed manual analysis of received video imag ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
imagery. This paper presents a novel image processing based approach that builds on existing salient object detection work within related domains. Our proposed approach uses an image contrast map derived from the combination of seminal work in this area, multiscale mean-shift segmentation with additional

The emulation theory of representation: Motor control, imagery, and perception

by Rick grush , 2004
"... ..."
Abstract - Cited by 219 (4 self) - Add to MetaCart
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Automatic salient object segmentation based on context and shape prior

by Huaizu Jiang, Jingdong Wang, Zejian Yuan, Tie Liu, Nanning Zheng, Shipeng Li - In Proc. British Machine Vision Conference (BMVC , 2011
"... We propose a novel automatic salient object segmentation algorithm which integrates both bottom-up salient stimuli and object-level shape prior, i.e., a salient object has a well-defined closed boundary. Our approach is formalized as an iterative energy minimization framework, leading to binary segm ..."
Abstract - Cited by 37 (5 self) - Add to MetaCart
We propose a novel automatic salient object segmentation algorithm which integrates both bottom-up salient stimuli and object-level shape prior, i.e., a salient object has a well-defined closed boundary. Our approach is formalized as an iterative energy minimization framework, leading to binary

VOCUS: a visual attention system for object detection and goal-directed search

by Simone Frintrop - IN LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (LNAI , 2005
"... Visual attention is a mechanism in human perception, which selects relevant regions from a scene and provides these regions for higher-level processing as object recognition. This enables humans to act effectively in their environment despite the complexity of perceivable sensor data. Computational ..."
Abstract - Cited by 94 (22 self) - Add to MetaCart
in an intelligent way. A promising approach to achieve this is the use of computational attention systems that simulate human visual attention. This thesis introduces the biologically motivated computational attention system VOCUS (Visual Object detection with a CompUtational attention System) that detects regions
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