Conference paper
Finding what matters in questions
Xiaoqiang Luo, Hema Raghavan, et al.
NAACL-HLT 2013
In this paper, we have presented a scalable architecture to perform progressive content-based search from large satellite image archives. Objects at both the semantic and the feature levels are extracted to facilitate efficient and flexible retrieval. In addition, a hierarchical representation is constructed for each image. Consequently, content-based search operations can be applied hierarchically, resulting in a significant speedup.
Xiaoqiang Luo, Hema Raghavan, et al.
NAACL-HLT 2013
Chung-Sheng Li, Mon-Song Chen, et al.
GLOBECOM 1992
Rishav Chakravarti, Cezar Pendus, et al.
EMNLP-IJCNLP 2019
Ching-Yung Lin, Apostol Natsev, et al.
ICME 2004