22 September 2015 ROI-preserving 3D video compression method utilizing depth information
Author Affiliations +
Abstract
Efficiently transmitting the extra information of three dimensional (3D) video is becoming a key issue of the development of 3DTV. 2D plus depth format not only occupies the smaller bandwidth and is compatible transmission under the condition of the existing channel, but also can provide technique support for advanced 3D video compression in some extend. This paper proposes an ROI-preserving compression scheme to further improve the visual quality at a limited bit rate. According to the connection between the focus of Human Visual System (HVS) and depth information, region of interest (ROI) can be automatically selected via depth map progressing. The main improvement from common method is that a meanshift based segmentation is executed to the depth map before foreground ROI selection to keep the integrity of scene. Besides, the sensitive areas along the edges are also protected. The Spatio-temporal filtering adapting to H.264 is used to the non-ROI of both 2D video and depth map before compression. Experiments indicate that, the ROI extracted by this method is more undamaged and according with subjective feeling, and the proposed method can keep the key high-frequency information more effectively while the bit rate is reduced.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunli Ti, Chunli Ti, Guodong Xu, Guodong Xu, Yudong Guan, Yudong Guan, Yidan Teng, Yidan Teng, } "ROI-preserving 3D video compression method utilizing depth information", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95991W (22 September 2015); doi: 10.1117/12.2187371; https://doi.org/10.1117/12.2187371
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

Indexing of compressed video sequences
Proceedings of SPIE (March 12 1996)
Hybrid pyramidal/vector-quantized volume compression
Proceedings of SPIE (March 20 1997)
Predictive Coding of Depth Images Across Multiple Views
Proceedings of SPIE (March 04 2007)
Content-based 3D mosaics for dynamic urban scenes
Proceedings of SPIE (May 08 2006)

Back to Top