Paper
9 February 2012 Frame rate up-conversion assisted with camera auto exposure information
Author Affiliations +
Abstract
Frame rate up conversion (FRC) is the process of converting between different frame rates for targeted display formats. Besides scanning format applications for large displays, FRC can be used to increase the frame rate of video at the receiver end for video telephony, video streaming or playback applications for mobile platforms where bandwidth savings are crucial. Many algorithms have been proposed for decoder/receiver side FRC. However, most of them are from video encoding/decoding point of view. We systematically studied the strategies of utilizing the camera 3A (auto exposure, auto white balance and auto focus) information to assist FRC process, while in this paper we focus on the technique using camera exposure information to assist the decoder FRC. In the proposed strategy the exposure information as well as other camera 3A related information is packetized as the meta data which is attached to the corresponding frame and transmitted together with the main video bit stream to the decoder side for FRC assistance. The meta data contains information such as zooming, auto focus, AE (auto exposure), AWB (auto white balance) statistics, scene change detection, global motion detected from motion sensors. The proposed meta data consists of camera specific information which is different than just sending motion vectors or mode information to aid FRC process. Compared to traditional FRC approaches used in mobile platforms, the proposed approach is a low-complexity, low-power solution which is crucial in resource constrained environments such as mobile platforms.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liang Liang, Bob Hung, and Gokce Dane "Frame rate up-conversion assisted with camera auto exposure information", Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 83040D (9 February 2012); https://doi.org/10.1117/12.910066
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Cameras

Motion estimation

Computer programming

Visualization

Sensors

Video coding

RELATED CONTENT

Detection and tracking of humans from an airborne platform
Proceedings of SPIE (October 07 2014)
Adaptive algorithm for the SLAM design with a RGB D...
Proceedings of SPIE (September 06 2019)
Distributed multi-view video coding
Proceedings of SPIE (January 19 2006)
Shot modeling and clustering in MPEG-compressed video
Proceedings of SPIE (May 30 2000)
Human eye interfaced multiple video objects coding
Proceedings of SPIE (June 23 2003)
Fast motion estimation using circular zonal search
Proceedings of SPIE (December 28 1998)

Back to Top