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MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling
Hui Wang
, Josef Kittler
, Mark Gales
, Rob Cooper
, Maurice Mulvenna
, Wing W. Y. Ng
, Yang Hua
, Richard Gault
,
Abbas Haider
, Guanfeng Wu
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Conference contribution
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Dive into the research topics of 'MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling'. Together they form a unique fingerprint.
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Keyphrases
Video Retrieval
100%
Multimodal Video Retrieval
100%
Language Modeling
100%
Retrieval Languages
100%
Multimodal Language
100%
Audio
66%
Multimodal Data
66%
User Experience
33%
Specific Types
33%
Interactivity
33%
Video Content
33%
Example-based
33%
User-friendly Interface
33%
Retrieval Time
33%
Data Interaction
33%
Data Search
33%
Precision Accuracy
33%
Large Language Models
33%
Diverse Domains
33%
Retrieval Method
33%
Advanced Data Processing
33%
Multi-modal Content
33%
Video Archive
33%
Multi-modal Video
33%
Search Performance
33%
Search by Example
33%
Video Search
33%
Data Understanding
33%
Artificial General Intelligence
33%
Retrieval Framework
33%
Computer Science
Language Modeling
100%
Video Retrieval
100%
Metadata
50%
User Experience
25%
Extensibility
25%
Large Language Model
25%
Information Retrieval
25%
Data Processing
25%
retrieval method
25%
Artificial General Intelligence
25%