Relevance-based Margin for Contrastively-trained Video Retrieval Models.
Alex FalconSwathikiran SudhakaranGiuseppe SerraSergio EscaleraOswald LanzPublished in: CoRR (2022)
Keyphrases
- retrieval model
- test collection
- information retrieval
- relevance feedback
- language modeling
- language model
- retrieval effectiveness
- document retrieval
- information retrieval systems
- inference network model
- retrieval framework
- statistical language models
- training set
- trec collections
- video sequences
- vector space model
- vector space
- video retrieval
- video content
- multimedia
- query expansion
- retrieval functions
- retrieval systems
- video frames
- tf idf
- video data
- sentence retrieval
- relevant documents
- query topic
- video database
- relevance judgments
- user queries
- query terms
- language modeling framework
- probabilistic retrieval models
- retrieved documents
- video streams
- video clips
- search tasks
- document collections
- probabilistic model
- machine learning
- relevance model
- average precision
- learning algorithm
- evaluation measures
- image retrieval
- topic models