Visual features based automated identification of fish species using deep convolutional neural networks.
Hafiz Tayyab RaufMuhammad Ikram Ullah LaliSaliha ZahoorSyed Zakir Hussain ShahAbd Ur RehmanSyed Ahmad Chan BukhariPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- high level
- visual features
- fish species
- low level
- convolutional neural networks
- visual information
- image classification
- low level features
- visual content
- image search
- image retrieval
- keywords
- visual appearance
- convolutional network
- semantic concepts
- low level visual features
- population dynamics
- image annotation
- image collections
- semantic gap
- bag of features
- web images
- key frames
- visual descriptors
- bridge the semantic gap
- machine learning
- global features
- similarity measure
- information retrieval