Rapidly detecting and locating the useful information from an image is a challenging research topic. As a preprocessing process, saliency detection aims at finding out the image regions which press close to human visual attention and effectively improves the computation speed of subsequent processing.
Saliency propagation according to local structure is the main contribution, which proposes a novel indicator for region stability measurement and design an ...
A unified global-to-local saliency detection framework is proposed.The novel framework is consisted of multi-prior coarse map construction and local ...
A robust background-based map is developed by using spatial prior to remove the foreground noises of image boundary regions and an effective saliency ...
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A context-based propagation mechanism is proposed for region-based saliency detection, which uniformly highlight- s the salient objects and smooths the region ...
Sep 26, 2019 · In this paper, we present a novel unsupervised saliency detection approach by exploiting a learning-based ranking framework. First, the local ...
In this paper, we formulate saliency detection via ab- sorbing Markov chain on an image graph model. We joint- ly consider the appearance divergence and ...
Oct 22, 2024 · In this paper, we propose a novel computational model for saliency detection by integrating the holistic center-directional map with the ...
So integrating the global and local saliency maps achieves higher performance in saliency detection. ... Saliency detection via local structure propagation.
In this paper, we propose a new method to detect the salient objects in video based on sparse reconstruction and propagation. With the assistance of novel ...