Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets.
Jamil AhmadKhan MuhammadSambit BakshiSung Wook BaikPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- fine grained
- coarse grained
- object oriented
- image retrieval
- access control
- benchmark datasets
- tightly coupled
- feature space
- feature vectors
- feature extraction
- visual features
- image database
- co occurrence
- databases
- image classification
- image representation
- relevance feedback
- image features
- relational databases
- user intent