TY - GEN
T1 - Flexible rate allocation for local binary feature compression
AU - Van Opdenbosch, Dominik
AU - Steinbach, Eckehard
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/29
Y1 - 2018/8/29
N2 - Numerous real-time applications in computer vision rely on finding correspondences between local binary features. In many mobile scenarios, the visual information captured at a sensor node needs to be transmitted to a processing server, which is capable of storing the visual information or executing a complex analysis task. However, not necessarily all the visual information need to be transmitted. In this paper, we present a rate allocation scheme that is capable of categorizing features into classes according to their usefulness and select the amount of data spent on each class to maximize the overall performance of a computer vision task. We demonstrate the approach using ORB, BRISK, and FREAK features and show the improvements on a homography estimation task.
AB - Numerous real-time applications in computer vision rely on finding correspondences between local binary features. In many mobile scenarios, the visual information captured at a sensor node needs to be transmitted to a processing server, which is capable of storing the visual information or executing a complex analysis task. However, not necessarily all the visual information need to be transmitted. In this paper, we present a rate allocation scheme that is capable of categorizing features into classes according to their usefulness and select the amount of data spent on each class to maximize the overall performance of a computer vision task. We demonstrate the approach using ORB, BRISK, and FREAK features and show the improvements on a homography estimation task.
KW - ATC
KW - Bag-of-Words
KW - Coding
KW - Feature coding
KW - Visual features
UR - http://www.scopus.com/inward/record.url?scp=85062898346&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2018.8451842
DO - 10.1109/ICIP.2018.8451842
M3 - Conference contribution
AN - SCOPUS:85062898346
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3259
EP - 3263
BT - 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PB - IEEE Computer Society
T2 - 25th IEEE International Conference on Image Processing, ICIP 2018
Y2 - 7 October 2018 through 10 October 2018
ER -