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Saliency-Aware Video Object Segmentation

Wang, Wenguan; Shen, Jianbing; Yang, Ruigang; Porikli, Fatih


Video saliency, aiming for estimation of a single dominant object in a sequence, offers strong object-level cues for unsupervised video object segmentation. In this paper, we present a geodesic distance based technique that provides reliable and temporally consistent saliency measurement of superpixels as a prior for pixel-wise labeling. Using undirected intra-frame and inter-frame graphs constructed from spatiotemporal edges or appearance and motion, and a skeleton abstraction step to further...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/TPAMI.2017.2662005
Access Rights: Open Access


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