Conference paper
CFO: A framework for building production NLP systems
Rishav Chakravarti, Cezar Pendus, et al.
EMNLP-IJCNLP 2019
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.
Rishav Chakravarti, Cezar Pendus, et al.
EMNLP-IJCNLP 2019
Lawrence D. Bergman, Vittorio Castelli, et al.
IJDL
Nicolas Fauceglia, Mustafa Canim, et al.
AAAI 2021
Lawrence D. Bergman, Jerre Shoudt, et al.
IJDL