Title :
Query-adaptive late fusion for image search and person re-identification
Author :
Liang Zheng;Shengjin Wang;Lu Tian; Fei He;Ziqiong Liu;Qi Tian
Author_Institution :
State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing 100084, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
Feature fusion has been proven effective [35, 36] in image search. Typically, it is assumed that the to-be-fused heterogeneous features work well by themselves for the query. However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query. As a result, it is of great importance to identify feature effectiveness in a query-adaptive manner.
Keywords :
"Databases","Accuracy","Sensitivity","Robustness","Pipelines","Image color analysis","Feature extraction"
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2015.7298783
