Multimedia Content Analysis and Indexing:

• Media content analysis and mining
• AI/ML approaches for content understanding
• Multimodal and cross-modal indexing
• Activity recognition and event-based multimedia indexing and retrieval
• Multimedia information retrieval (image, audio, video, text)
• Conversational search and question-answering systems
• Multimedia recommendation
• Multimodal analytics, summarization, visualization, organization and browsing of multimedia content
• Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)
• Foundation models, large multimedia models, large language models and vision language models
• Explainability in multimedia learning
• Large scale multimedia database management
• Evaluation and benchmarking of multimedia retrieval systems

Multimedia User Experiences:

• Extended reality (AR/VR/MR) interfaces
• Mobile interfaces and user interaction
• Presentation and visualization tools
• Affective adaptation and personalization
• Relevance feedback and interactive learning

Applications of Multimedia Indexing and Retrieval:

• Multimedia and sustainability
• Healthcare and medical applications
• Cultural heritage and entertainment applications
• Educational and social applications
• Egocentric, wearable and personal multimedia
• Applications to forensics, surveillance and security
• Environmental and urban multimedia applications
• Earth observation and astrophysics
• Physical and industrial processes