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Author Margolin, R. ♦ Tal, A. ♦ Zelnik-Manor, L.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image color analysis ♦ Principal component analysis ♦ Accuracy ♦ Image resolution ♦ Benchmark testing ♦ Organizations ♦ Object detection ♦ salient object ♦ saliency ♦ distinctness
Abstract What makes an object salient? Most previous work assert that distinctness is the dominating factor. The difference between the various algorithms is in the way they compute distinctness. Some focus on the patterns, others on the colors, and several add high-level cues and priors. We propose a simple, yet powerful, algorithm that integrates these three factors. Our key contribution is a novel and fast approach to compute pattern distinctness. We rely on the inner statistics of the patches in the image for identifying unique patterns. We provide an extensive evaluation and show that our approach outperforms all state-of-the-art methods on the five most commonly-used datasets.
Description Author affiliation: Technion - Israel Inst. of Technol., Haifa, Israel (Margolin, R.; Tal, A.; Zelnik-Manor, L.)
ISBN 9780769549897
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-06-23
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.81 MB
Page Count 8
Starting Page 1139
Ending Page 1146

Source: IEEE Xplore Digital Library