A relevance feedback approach to video genre retrieval.
Ionut MironicaConstantin VertanBogdan IonescuPublished in: ICCP (2011)
Keyphrases
- relevance feedback
- image retrieval
- retrieval framework
- document retrieval
- information retrieval systems
- query expansion
- retrieval process
- retrieval accuracy
- retrieval model
- information retrieval
- video database
- retrieval precision
- image search
- video data
- low level features
- user feedback
- multimedia
- video content
- cbir systems
- video retrieval
- video streams
- video sequences
- content based video
- video frames
- retrieved images
- content based indexing
- video indexing
- active learning
- pseudo relevance feedback
- cut detection
- video search
- multimedia information
- video analysis
- image retrieval systems
- multimedia documents
- relevant documents
- query refinement
- semantic video
- retrieval effectiveness
- sparck jones
- audio visual content
- genre classification
- retrieved documents
- average precision
- video clips
- language model