Research Topics
A High-level Discussion of the UCLA Multimedia Communications and Systems Lab Research Focus click here
Strategic Learning and Heterogeneous Knowledge in Multi-agent Communication Systems click here
Wireless Multimedia Communication and Networking
- Game-theoretic Approaches (Mechanism Design, Coalition Theory, Dynamic Games, Multi-agent Learning) to Dynamic Resource Management for Multi-user Delay-sensitive Transmission over Cognitive Radio Networks
- Game-theoretic Analysis of Multi-user Interactions in Cognitive Radio Networks
- Delay-constrained Multi-user Wireless Transmission
- Multi-user Cross-layer Wireless Multimedia Communications using Resource and Information Exchanges
- Fairness Paradigms for Wireless Media using Game-theory (Bargaining Theory)
- Congestion Games for Delay-sensitive Transmission over Multi-hop Mesh Networks
- Multimedia Networking and Real-time Streaming Architectures, Queuing Models for Media Streaming
- Incentives for Peer-to-Peer Multimedia Systems, Non-collaborative and Collaborative Multimedia Compression and Communication over Resource-constraint Wireless Systems
Multimedia Systems
- Dynamic Resource Management for Multimedia Applications on Embedded Systems and Multi-processor systems
- Complexity Modeling for Multimedia Streaming Applications
- Distortion and Power Optimized Multimedia Systems
- Formal Methods for Designing and Optimizing Multimedia Compression and Processing Algorithms on Resource-constrained Systems
- Fairness Paradigms for Wireless Media using Game-theory (Bargaining Theory)
- Middleware Design for Decentralized Resource Management in Multi-processor Systems
- Fairness Paradigms for Multi-task Processing
Multimedia Compression, Modeling, Processing
- Scalable Video Coding
- MPEG-4 Fine Granularity Scalability
- Motion-compensated Wavelet Video Coding
- Complexity-constrained Multimedia Compression
- Rate-distortion Models for Operational Wavelet Video Coders
- Secure Multimedia Compression
- Content-aware Spatio-temporal Processing and Compression
- Complexity-constrained Data Mining Applications