Paper Info
Title
Video coding for the mobile capture of higher dynamic range image sequences
Abstract
This paper is concerned with the problem of capturing higher dynamic range video with a mobile device. We assume the mobile device has a standard (or low) dynamic range image sensor, and that the device is constrained by power and processing capability. To address these issues, we develop a system that captures a video sequence containing time varying exposure settings, encodes this sequence without modification, and then transmits the sequence to a decoder. The bit-stream is constructed so that legacy decoding devices only decode a single exposure setting while advanced devices decode multiple exposure settings and then use the decoded data to reconstruct a higher dynamic range image sequence.
Year
DOI
Venue
2009
10.1109/PCS.2009.5167378
Chicago, IL
Keywords
Field
DocType
image reconstruction,image sensor,sensors,process capability,mobile device,decoding,layout,image sensors,encoding,dynamic range
Computer vision,Mobile radio,Dynamic range,Image sensor,Computer science,Coding (social sciences),Real-time computing,Mobile device,Artificial intelligence,Multiple exposure,Decoding methods,Encoding (memory)
Conference
ISBN
Citations 
PageRank 
978-1-4244-4594-3
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Andrew Segall112.06
Jie Zhao221.51
Ron Rubinstein357417.89