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Graph Construction for Salient Object Detection in Videos

Keren Fu (Institutionen för signaler och system, Signalbehandling) ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling) ; Yixiao Yun (Institutionen för signaler och system, Signalbehandling) ; C Gong ; Jie Yang
22th International Conference on Pattern Recognition, 24-28 Aug. 2014, Stockholm, Sweden (1051-4651). p. 2371-2376. (2014)
[Konferensbidrag, refereegranskat]

Recently many graph-based salient region/object detection methods have been developed. They are rather effective for still images. However, little attention has been paid to salient region detection in videos. This paper addresses salient region detection in videos. A unified approach towards graph construction for salient object detection in videos is proposed. The proposed method combines static appearance and motion cues to construct graph, enabling a direct extension of original graph based salient region detection to video processing. To maintain coherence in both intra- and inter-frames, a spatial-temporal smoothing operation is proposed on a structured graph derived from consecutive frames. The effectiveness of the proposed method is tested and validated using seven videos from two video datasets.

Nyckelord: Salient region detection, Graph construction, Video processing, Optical flows



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Denna post skapades 2014-03-26. Senast ändrad 2015-09-15.
CPL Pubid: 195695

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)

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Informations- och kommunikationsteknik
Bildanalys
Signalbehandling

Chalmers infrastruktur

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