Object proposals for salient object segmentation in videos

Kalboussi, Rahma; Azaza, Aymen; Weijer, Joost van de; Abdellaoui, Mehrez; Douik, Ali

doi:10.1007/s11042-019-07781-0

Cited by 5 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of object proposal methods has another advantage which is avoiding the use of the costly sliding window approaches. Several methods use object proposals for saliency estimation [3,27,35,62]. They extract saliency features for all object proposals after which they use a classifier to assign saliency to the object proposals.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Saliency from High-Level Semantic Image Features

et al. 2020

Self Cite

View full text Add to dashboard Cite

Top-down semantic information is known to play an important role in assigning saliency. Recently, large strides have been made in improving state-of-the-art semantic image understanding in the fields of object detection and semantic segmentation. Therefore, since these methods have now reached a high-level of maturity, evaluation of the impact of high-level image understanding on saliency estimation is now feasible. We propose several saliency features which are computed from object detection and semantic segmentation results. We combine these features with a standard baseline method for saliency detection to evaluate their importance. Experiments demonstrate that the proposed features derived from object detection and semantic segmentation improve saliency estimation significantly. Moreover, they show that our method obtains state-of-theart results on (FT, ImgSal, and SOD datasets) and obtains competitive results on four other datasets (ECSSD, PASCAL-S, MSRA-B, and HKU-IS).

show abstract

Section: Related Workmentioning

confidence: 99%

“…Wang et al [62] propose a local and global deep network for saliency to predict the saliency of each object proposal generated from the geodesic object proposal method [25]. A recent work investigates the usage of object proposals for saliency estimation in videos [27].…”

Section: Related Workmentioning

confidence: 99%