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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638364