Mid-Level Concept Learning with Visual Contextual Ontologies and Probabilistic Inference for Image Annotation.
Yuee LiuJinglan ZhangDian TjondronegoroShlomo GevaZhengrong LiPublished in: MMM (2010)
Keyphrases
- mid level
- concept learning
- image annotation
- visual concepts
- low level features
- visual features
- visual information
- low level
- semantic gap
- image content
- high level
- image understanding
- graphical models
- image retrieval
- image collections
- multi modal
- multi label
- semantic concepts
- contextual information
- inductive logic programming
- bayesian networks
- higher level
- semantic information
- background knowledge
- image representation
- action recognition
- relevance feedback
- knowledge base
- image classification
- object recognition
- image segmentation
- image processing
- computer vision
- object detection
- natural language
- keywords
- visual content
- multiscale