DocumentCode
1669218
Title
RGB-D video content identification
Author
Honghai Yu ; Moulin, Philippe ; Roy, Sandip
Author_Institution
ECE Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2013
Firstpage
3776
Lastpage
3780
Abstract
This paper proposes the first content identification (ID) system for depth video as well as a first hybrid content ID system for synchronized RGB and depth (RGB-D) video. The proposed systems are tested on a public RGB-D dataset. The hybrid system demonstrates significant performance gains over RGB-alone or depth-alone systems, while depth and RGB perform comparably. Moreover, a statistical interpretation of the hybrid system´s superior performance is provided.
Keywords
image colour analysis; video retrieval; video signal processing; RGB-D video content identification; content ID system; depth RGB-D video synchronization; hybrid system; public RGB-D dataset; Computer vision; Conferences; Correlation; Databases; Decoding; Feature extraction; Robustness; Content identification; Kinect camera; depth video; fingerprinting;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638364
Filename
6638364
Link To Document