Graph Construction for Salient Object Detection in Videos
Paper in proceedings, 2014

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.

Optical flows

Video processing

Salient region detection

Graph construction

Author

Keren Fu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Yixiao Yun

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

C Gong

Shanghai Jiao Tong University

Jie Yang

Shanghai Jiao Tong University

22th International Conference on Pattern Recognition, 24-28 Aug. 2014, Stockholm, Sweden

1051-4651 (ISSN)

2371-2376

Areas of Advance

Information and Communication Technology

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1109/ICPR.2014.411

ISBN

978-147995208-3

More information

Latest update

3/7/2018 7