NDLI: Automatic extraction of salient objects in 3D stereoscopic videos

Content Provider	IEEE Xplore Digital Library
Author	Tapu, R. Mocanu, B. Tapu, E.
Copyright Year	2014
Description	Author affiliation: Dept. of Telecommun., Univ. “Politeh.” of Bucharest, Bucharest, Romania (Tapu, R.; Mocanu, B.) \|\| Dept. of Descriptive Geometry & Eng. Graphics, Univ. “Politeh.” of Bucharest, Bucharest, Romania (Tapu, E.)
Abstract	For 3D stereoscopic videos the depth perception represents an important factor that affects the human visual attention much more than any motion or texture contrast existent in a traditional 2D videos. In this context, the present paper addressed the issue of stereoscopic visual attention models designed to detect salient objects in 3D videos. We propose representing the image sequence as a 2D video stream and its associated depth maps. The technique starts by combining a spatiotemporal attention model with a disparity map. The depth map offers important information about the objects position in space and helps us estimating their relative distance to the video camera. The proposed method is evaluated on a set of ten 3D video streams and can be considered efficient and robust.
Starting Page	1
Ending Page	4
File Size	1305117
Page Count	4
File Format	PDF
ISBN	9781479972661
e-ISBN	9781479972678
DOI	10.1109/ISETC.2014.7010794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-14
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Three-dimensional displays 3D video Disparity maps Stereo image processing Streaming media Cameras Spatiotemporal phenomena Salient object detection Stereoscopic attention model Videos
Content Type	Text
Resource Type	Article

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