Saliency Detection with Sparse Prototypes: An Approach Based on Multi-Dictionary Sparse Encoding

This paper proposes a bottom-up saliency detection algorithm based on multi-dictionary sparse recovery. Firstly, the SLIC algorithm is used to segment the image into superpixels in multilevel and atoms with a high background possibility are selected from the boundary superpixels to construct the mul...

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Bibliographic Details
Main Authors: Wang Jun, Wu Zemin, Tian Chang, Hu Lei
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817603009