Video information retrieval using objects and ostensive relevance feedback.
Paul BrownePublished in: SIGIR Forum (2005)
Keyphrases
- relevance feedback
- information retrieval
- information retrieval systems
- query expansion
- document retrieval
- multimedia objects
- video images
- multimedia
- retrieval model
- relevant documents
- image retrieval
- d objects
- stationary camera
- video sequences
- moving objects
- real time
- video search
- retrieval effectiveness
- dynamic scenes
- query refinement
- language model
- information extraction
- video content
- learning to rank
- low level features
- cbir systems
- retrieval process
- video database
- visual data
- information access
- video objects
- user system interaction
- feature weighting
- sparck jones
- multiple objects
- user feedback
- information seeking
- multimedia databases
- video clips
- key frames
- video streams
- video frames
- retrieval systems
- space time
- text mining
- active learning
- machine learning