A Benchmark Dataset and Saliency-Guided Stacked Autoencoders for Video-Based Salient Object Detection

• Published in: IEEE transactions on image processing Vol. 27; no. 1; pp. 349 - 364
• Main Authors: Li, Jia, Xia, Changqun, Chen, Xiaowu
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2018
• Subjects: Animals; Benchmark testing; model benchmarking; Motion segmentation; Object detection; Salient object detection; Solid modeling; Spatiotemporal phenomena; stacked autoencoders; video dataset

Image-based salient object detection (SOD) has been extensively studied in past decades. However, video-based SOD is much less explored due to the lack of large-scale video datasets within which salient objects are unambiguously defined and annotated. Toward this end, this paper proposes a video-bas...