Publications


- Books
- Technical Reports
- Journals - Selected Conference Papers
- Theses


Books
2. M. van der Schaar and P. Chou, editors, "Multimedia over IP and Wireless Networks: Compression, Networking, and Systems," Academic Press, 2007.
1. M. van der Schaar, D. S. Turaga and T. Stockhammer, "MPEG-4 beyond video compression: Object Coding, Scalability and Error Resilience," Digital Library of Computer Science and Engineering, Morgan Claypool, 2005.
Technical Reports
3. J. Park and M. van der Schaar, "Stackelberg Contention Games in Multi-User Networks". [Link]
2. Y. Su and M. van der Schaar, "Decentralized Knowledge and Learning in Strategic Multi-user Communication". [Link]
1. Y. Su and M. van der Schaar, "A New Perspective on Multi-user Power Control Games in Interference Channels". [Link]
Journals
Learning, Distributed Decision Making and Games in Networking and Computing Systems
(For more detailed information about this topic, please click HERE)
67. Z. Lin and M. van der Schaar, "On the correlated equilibrium selection for two-user channel access games," IEEE Signal Process. Lett., to appear.
66. N. Mastronarde and M. van der Schaar, "Automated bidding for media services at the edge of a content delivery network," IEEE Trans. on Multimedia, to appear.
65. M. van der Schaar and F. Fu, "Spectrum Access Games and Strategic Learning in Cognitive Radio Networks for Delay-Critical Applications," accepted to Proc. of IEEE, Special issue on Cognitive Radio, to appear Early 2009.
64. F. Fu and M. van der Schaar, "A New Systematic Framework for Autonomous Cross-Layer Optimization," IEEE Trans. Veh. Tech., to appear.
63. H. Park and M. van der Schaar, "A Framework for Foresighted Resource Reciprocation in P2P Networks," IEEE Trans. Multimedia, to appear.
62. H. P. Shiang and M. van der Schaar, "Feedback-Driven Interactive Learning in Dynamic Wireless Resource Management for Delay Sensitive Users," IEEE Trans. Veh. Tech., to appear. [Link]
61. F. Fu and M. van der Schaar, "Learning to Compete for Resources in Wireless Stochastic Games," IEEE Trans. Veh. Tech., to appear.
60. H. Park and M. van der Schaar, "Coalition-based Resource Reciprocation Strategies for P2P Multimedia Broadcasting," IEEE Trans. Broadcast. (Special Issue: Quality Issues in Multimedia Broadcasting), vol. 54, no. 3, pp. 557-567, Sept. 2008. [Link]
59. S. -C. Su and M. van der Schaar, "On the Application of Game-Theoretic Mechanism Design for Resource Allocation in Multimedia Systems," IEEE Trans. Multimedia, vol. 10, no. 6, pp. 1197-1207, Oct. 2008. [Link]
58. H. P. Shiang and M. van der Schaar, "Distributed Resource Management in Multi-hop Cognitive Radio Networks for Delay Sensitive Transmission," IEEE Trans. Veh. Tech., to appear.
57. H. P. Shiang and M. van der Schaar, "Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications over Cognitive Radio Networks," IEEE Trans. Multimedia, Vol. 10, no.5, pp. 896–909, Aug. 2008. [Link]
56. Y. Su and M. van der Schaar, "Multiuser Multimedia Resource Allocation over Multicarrier Wireless Networks," IEEE Trans. Signal Process., vol. 56, pp. 2102-2116, May 2008 [Link]
55. Y. Su and M. van der Schaar, "A Simple Characterization of Strategic Behaviors in Broadcast Channels," IEEE Signal Process. Lett., vol. 15, pp. 37-40, 2008. [Link]
54. F. Fu, T. M. Stoenescu, and M. van der Schaar, "A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications," IEEE Journal of Selected Topics in Signal Process., Special Issue on Network-Aware Multimedia Process. and Communications, vol. 1, no. 2, pp. 264-279, Aug. 2007. [Link]
53. H. Shiang and M. van der Schaar, "Multi-user video streaming over multi-hop wireless networks: A distributed, cross-layer approach based on priority queuing," IEEE J. Sel. Areas Commun.,vol. 25, no. 4, pp. 770-785, May 2007. [Link]
52. H. Shiang and M. van der Schaar, "Informationally Decentralized Video Streaming over Multi-hop Wireless Networkss," IEEE Trans. Multimedia, vol. 9, no. 6, pp. 1299-1313, Oct. 2007. [Link]
51. H. Park and M. van der Schaar, "Bargaining Strategies for Networked Multimedia Resource Management," IEEE Trans. Signal Process., vol. 55, no. 7, pp. 3496-3511, Jul. 2007. [Link]
50. F. Fu and M. van der Schaar, "Noncollaborative Resource Management for Wireless Multimedia Applications Using Mechanism Design," IEEE Trans. Multimedia, vol. 9, no. 4, pp. 851-868, Jun. 2007. [Link]
49. A. Fattahi, F. Fu, M. van der Schaar, and F. Paganini, "Mechanism-Based resource allocation for multimedia transmission over spectrum agile wireless networks," IEEE J. Sel. Areas Commun., vol. 25, no. 3, pp. 601-612, Apr. 2007. [Link]

Wireless Multimedia Communication and Networking

48. J. Hsu and M. van der Schaar, "Cross layer design and analysis of multi-user wireless video streaming over 802.11e EDCA MAC," IEEE Signal Process. Lett., to appear.
47. C. Shen and M. van der Schaar, "Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels," IEEE Trans. Wirless Commun., vol. 7, no. 9, pp. 3546-3557, Sep. 2008. [Link]
46. M. van der Schaar, D. S. Turaga, and R. Sood, "Stochastic Optimization for Content Sharing in P2P Systems," IEEE Trans. Multimedia, vol. 10, no. 1, pp. 132-144, Jan. 2008. [Link]
45. X. Tong, Y. Andreopoulos, and M. van der Schaar, "Distortion-driven Video Streaming over Multi-hop Wireless Networks with Path Diversity," IEEE Trans. Mobile Comput., vol. 6, no. 12, Dec. 2007. [Link]
44. Q. Li, Y. Andreopoulos, and M. van der Schaar, "Streaming-Viability Analysis and Packet Scheduling for Video over QoS-enabled Networks," IEEE Trans. Veh. Technol., vol. 56, no. 6, pp. 3533-3549, Nov. 2007. [Link]
43. S. Shankar and M. van der Schaar, "Performance Analysis of Video Transmission Over IEEE 802.11a/e WLANs," IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 2346-2362, July 2007. [Link]
42. N. Mastronarde, D. Turaga, and M. van der Schaar, "Collaborative resource exchanges for peer-to-peer video streaming over wireless mesh networks," IEEE J. Sel. Areas Commun., vol. 25, no. 1, pp. 108-118, Jan. 2007. [Link]
41. M. van der Schaar and D. Turaga, "Cross-layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission," IEEE Trans. Multimedia, vol. 9, no. 1, pp. 185-197, Jan. 2007. [Link]
40. Y. Andreopoulos, R. Keralapura, M. van der Schaar, and C. Chuah, "Failure-aware, Open-Loop, Adaptive Video Streaming With Packet-Level Optimized Redundancy," IEEE Trans. Multimedia, vol. 8, no. 6, pp. 1274-1290, Dec. 2006. [Link]
39. Y. Andreopoulos, N. Mastronarde, and M. van der Schaar, "Cross-layer Optimized Video Streaming Over Wireless Multihop Mesh Networks," IEEE J. Sel. Areas Commun., vol. 24, no. 11, pp. 2104-2115, Nov. 2006. [Link]
38. M. van der Schaar, D. Turaga, and R. Wong, "Classification-Based System For Cross-Layer Optimized Wireless Video Transmission," IEEE Trans. Multimedia, vol. 8, no. 5, pp. 1082-1095, Oct. 2006. [Link]
37. M. van der Schaar, Y. Andreopoulos, and Z. Hu, "Optimized scalable video streaming over IEEE 802.11 a/e HCCA wireless networks under delay constraints," IEEE Trans. Mobile Comput., vol. 5, no. 6, pp. 755-768, June 2006 [Link]
36. M. Wang and M. van der Schaar, "Model-based joint source channel coding for subband video," IEEE Signal Process. Lett., vol. 13, no. 6, pp. 341-344, June 2006. [Link]
35. M. van der Schaar and S. Shankar, "Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms," IEEE Wireless Commun. Mag., vol. 12, no. 4, pp. 50-58, Aug. 2005. [Link]
34. H. Radha, M. van der Schaar, and S. Karande, "Scalable video transcaling for the wireless internet," EURASIP Journal on Applied Signal Process., Special issue on Multimedia over IP and Wireless Networks, vol. 24, no. 2, pp. 265-279, Feb. 2004. [Link]
33. Q. Li and M. van der Schaar, "Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation," IEEE Trans. Multimedia, vol. 6, no. 2, pp. 278-290, Apr. 2004. [Link]
32. M. van der Schaar, S. Krishnamachari, S. Choi, and X. Xu, "Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs," IEEE J. Sel. Areas Commun., vol. 21, no. 10, pp. 1752-1763, Dec. 2003. [Link]

Multimedia Systems
(For overview about this topic, please click HERE and HERE)
31. N. Mastronarde and M. van der Schaar, "Towards a general framework for cross-layer decision making in multimedia systems," IEEE Trans. on Circuits and Systems for Video Technology, to appear.
30. N. Kontorinis, Y. Andreopoulos and M. van der Schaar, "A Statistical Framework for Video Decoding Complexity Modeling and Prediction," IEEE Trans. Circuits Syst. Video Technol., to appear.
29. B. Foo, D. Turaga, O. Verscheure, M. van der Schaar, and L. Amini, "Resource Constrained Stream Mining with Classifier Tree Topologies," IEEE Signal Process. Lett., to appear.
28. E. Akyol and M. van der Schaar, "Compression-Aware Energy Optimization for Video Decoding Systems with Passive Power" IEEE Trans. Circuits Syst. Video Technol. , vol. 18, no. 9, pp. 1300-1306, Sep. 2008. [Link]
27. F. Fu, D. Turaga, O. Verscheure, M. van der Schaar, and L. Amini, "Configuring Competing Classifier Chains in Distributed Stream Mining Systems" IEEE Journal of Selected Topics in Signal Process. (JSTSP) , vol. 1, no. 4, pp. 548-563, Dec. 2007. [Link]
26. N. Mastronarde and M. van der Schaar, "A Bargaining Theoretic Approach to Quality-Fair System Resource Allocation for Multiple Decoding Tasks," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 4, pp. 453-466, Apr. 2008. [Link]
25. B. Foo and M. van der Schaar, "A Queuing Theoretic Approach to Processor Power Adaptation for Video Decoding Systems," IEEE Trans. Signal Process., vol. 56, no. 1, pp. 378-392, Jan. 2008. [Link]
24. B. Foo, Y. Andreopoulos, and M. van der Schaar, "Analytical Rate-Distortion-Complexity Modeling of Wavelet-based Video Coders," IEEE Trans. Signal Process., to appear. [Link]
23. Y. Andreopoulos and M. van der Schaar, "Incremental Refinement of Computation for the Discrete Wavelet Transform," IEEE Trans. Signal Process., vol. 56, no. 1, pp. 140-157, Jan. 2008. [Link]
22. N. Mastronarde and M. van der Schaar, "A Queuing-Theoretic Approach to Task Scheduling and Processor Selection for Video Decoding Applications," IEEE Trans. Multimedia, vol. 9, no. 7, pp. 1493-1507, Nov. 2007. [Link]
21. E. Akyol and and M. van der Schaar, "Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems," IEEE Trans. Multimedia, vol. 9, no. 7, pp. 1475-1492, Nov. 2007. [Link]
20. Y. Andreopoulos and M. van der Schaar, "Adaptive Linear Prediction for Resource Estimation of Video Decoding," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 6, pp. 751-764, June 2007. [Link]
19. Y. Andreopoulos and M. van der Schaar, "Complexity-Constrained Video Bitstream Shaping," IEEE Trans. Signal Process., vol. 55, no. 5, pp. 1967-1974, May 2007. [Link]
18. D. Turaga, M. van der Schaar, and B. Pesquet-Popescu, "Complexity scalable motion compensated wavelet video encoding," IEEE Trans. Circuits Syst. Video Technol., vol. 15, no. 8, pp. 982-993, Aug. 2005. [Link]
17. M. van der Schaar and Y. Andreopoulos, "Rate-distortion-complexity modeling for network and receiver aware adaptation," IEEE Trans. Multimedia, vol. 7, no. 3, pp. 471-479, June 2005. [Link]
16. M. van der Schaar and P. H. de With, "Hybrid compression of video with graphics in DTV communication systems," IEEE Trans. Consumer Electron., vol. 46, no. 4, pp. 1007-1017, Nov. 2000. [Link]
15. M. van der Schaar and P. H. de With, "Near-lossless complexity-scalable embedded compression algorithm for cost reduction in DTV receivers," IEEE Trans. Consumer Electron., vol. 46, no. 4, pp. 923-933, Nov. 2000. [Link]
14. P. H. de With, P. H. Frencken, and M. van der Schaar, "An MPEG decoder with embedded compression for memory reduction," IEEE Trans. Consumer Electron., vol. 44, no. 3, pp. 545-555, Aug. 1998. [Link]

Multimedia Compression, Modeling, Processing

13. Bengt J. Borgstrom, M. van der Schaar, and A. Alwan, "Rate Allocation for Noncollaborative Multiuser Speech Communication Systems Based on Bargaining Theory," IEEE Trans. Audio, Speech, and Language Process., vol. 15, no. 4, pp. 1156-1166, May 2007. [Link]
12. Y. Andreopoulos and M. van der Schaar, "Generalized Phase Shifting for M-Band Discrete Wavelet Packet Transforms," IEEE Trans. Signal Process., vol. 55, no. 2, pp. 742-747, Feb. 2007. [Link]
11. C. Tillier, B. Pesquet-Popescu, and M. van der Schaar, "3-band motion-compensated temporal structures for scalable video coding," IEEE Trans. Image Process., vol. 15, no. 9, pp. 2545-2557, Sept. 2006. [Link]
10. M. Wang and M. van der Schaar, "Operational rate-distortion modeling for wavelet video coders," IEEE Trans. Signal Process., vol. 54, no. 9, pp. 3505-3517, Sept. 2006. [Link]
9. Y. Wang, M. van der Schaar, S. Chang, and A. Loui, "Classification-based multidimensional adaptation prediction for scalable video coding using subjective quality evaluation," IEEE Trans. Circuits Syst. Video Technol., vol. 15, no. 10, pp. 1270-1279, Oct. 2005. [Link]
8. C. Tiller, B. Pesquet-Popescu, and M. van der Schaar, "Improved update operators for lifting-based motion-compensated temporal filtering," IEEE Signal Process. Lett., vol. 12, no. 2, pp. 146-149, Feb. 2005. [Link]
7. D. Turaga, M. van der Schaar, Y. Andreopoulos, A. Munteanu, and P. Schelkens, "Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video," EURASIP Signal Processing: Image Communication, vol. 20, no. 1, pp. 1-19, Jan. 2005. [Link]
6. J.-R. Ohm, M. van der Schaar, and J. W. Woods, "Interframe wavelet coding x motion picture representation for universal scalability," EURASIP Signal Processing: Image Communication, Special issue on Digital Camera, vol. 19, no. 9, pp. 877-908, Oct. 2004. [Link]
5. Y. Andreopoulos, A. Munteanu, J. Barbarien, M. van der Schaar, J. Cornelis, and P. Schelkens, "In-band motion compensated temporal filtering," EURASIP Signal Processing: Image Communication, Special issue on Subband/Wavelet Interframe Video Coding, vol. 19, no. 7, pp. 653-673, Aug. 2004. [Link]
4. M. van der Schaar and H. Radha, "Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video," IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 6, pp. 360-371, June 2002. [Link]
3. M. van der Schaar and H. Radha, "Unequal packet loss resilience for fine-granular-scalability video," IEEE Trans. Multimedia, vol. 3, no. 4, pp. 381-394, Dec. 2001. [Link]
2. M. van der Schaar and H. Radha, "A hybrid temporal-SNR fine-granular scalability for internet video," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 3, pp. 318-331, Mar. 2001. [Link]
1. H. Radha, M. van der Schaar, and Y. Chen, "The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP," IEEE Trans. Multimedia, vol. 3, no. 1, pp. 53-68, Mar. 2001. [Link]

Selected Conference Papers
38. H. P. Shiang and Mihaela van der Schaar, "Delay-Sensitive Resource Management in Multi-Hop Cognitive Radio Networks," in Proc. IEEE Dyspan 2008 . [Link]
37. Ulrich Berthold, Fangwen Fu, Mihaela van der Schaar, and Friedrich K. Jondral, "Detection of Spectral Resources in Cognitive Radios Using Reinforcement Learning," in Proc. IEEE Dyspan 2008 . [Link]
36. F. Fu and Mihaela van der Schaar, "Stochastic game formulation for coginitive radio networks," in Proc. IEEE Dyspan 2008 . [Link]
35. Y. Su and Mihaela van der Schaar, "Learning for Cognitive Wireless Users'," in Proc. IEEE Dyspan 2008 . [Link]
34. H. Park and Mihaela van der Schaar, "Foresighted Resource Reciprocation Strategies in P2P Networks," in Proc. IEEE Globecom. 2008 , to appear.
33. W. Tu and Mihaela van der Schaar, "Distributed Spectrum Allocation of Delay-sensitive Users over Multi-user Multi-carrier Networks," in Proc. IEEE Globecom. 2008 , to appear.
32. F. Fu and Mihaela van der Schaar, "A New Theoretic Framework for Cross-layer Optimization," in Proc. IEEE Int. Conf. on Image Process. 2008 (ICIP 2008). [Link]
31. N. Mastronarde and Mihaela van der Schaar, "A Scalable Complexity Specification for Video Applications," in Proc. IEEE Int. Conf. on Image Process. 2008 (ICIP 2008). [Link]
30. H. P. Shiang and Mihaela van der Schaar, "Dynamic Channel Selection for Multi-user Video Streaming over Cognitive Radio Networks," in Proc. IEEE Int. Conf. on Image Process. 2008 (ICIP 2008). [Link]
29. H. Park and Mihaela van der Schaar, "Information-driven Resource Negotiation Strategies for Multimedia Applications," in Proc. IEEE Int. Conf. on Image Process. 2008 (ICIP 2008). . [Link]
28. Z. Cao, B. Foo, L. He, and M. van der Schaar, "Optimality and Improvement of Dynamic Voltage Scaling Algorithms for Multimedia Applications," in Proc. ACM/IEEE Conf. on Design Automation (DAC' 08), to appear (Nominated for best paper award). [Link]
27. Yi Su and Mihaela van der Schaar, "How Much Learning is Sufficient for Interference Games?," in Proc. Cognitive Info. Process. (CIP 2008).
26. Fangwen Fu and Mihaela van der Schaar, "Learning for cross-layer optimization," in Proc. Cognitive Info. Process. (CIP 2008).
25. H. P. Shiang, W. Tu, and M. van der Schaar, "Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-carrier Networks," in Proc. Int. Conf. Commun. 2008 (ICC 2008). [Link]
24. Y. Su and M. van der Schaar, "Resource Allocation for Multi-user Video Transmission over Multi-carrier Networks," in Proc. Int. Conf. Commun. 2008 (ICC 2008). [Link]
23. Y. Su and M. van der Schaar, "A New Look at Multi-user Power Control Games," in Proc. Int. Conf. Commun. 2008 (ICC 2008). [Link]
22. F. Fu and M. van der Schaar, "Dynamic Spectrum Sharing Using Learning for Delay-Sensitive Applications," in Proc. Int. Conf. Commun. 2008 (ICC 2008). [Link]
21. F. Fu and Mihaela van der Schaar, "A New Theoretic Framework for Cross-Layer Optimization with Message Exchanges," in INFOCOM¡¯2008 Student Workshop. [Link]
20. H. Shiang and M. van der Schaar, "Risk-aware scheduling for multi-user video streaming over wireless multi-hop networks," in Proc. IS&T/SPIE Visual Communications and Image Processing 2008 (VCIP 2008). [Link]
19. B. Foo and M. van der Schaar, "Distributed Classifier Chain Optimization for Real-time Multimedia Stream Mining Systems," in Proc. IS&T/SPIE Multimedia Content Access, Algorithms and Systems II, Jan. 2008. [Link]
18. B. Foo and M. van der Schaar, "Joint Scheduling and Resource Allocation for Multiple Video Decoding Tasks," in Proc. IS&T/SPIE Multimedia Communications and Networking 2008 (MCN 2008), Jan. 2008. [Link]
17. H. Park and M. van der Schaar, "Coalition based Multimedia Peer Matching Strategies for P2P Networks," in Proc. IS&T/SPIE Visual Communications and Image Processing 2008 (VCIP 2008), vol. 6822, Jan. 2008. [Link]
16. F. Fu and M. van der Schaar, "Resource Management Framework for Multi-user Wireless Multimedia Using the VCG Mechanism," in Proc. 16th Int. Packet Video Workshop 2007 (PV 2007), Nov. 2007, pp. 356-362. [Link]
15. H. Park and M. van der Schaar, "Congestion game modeling for brokerage based multimedia resource management," in Proc. 16th Int. Packet Video Workshop 2007 (PV 2007), Nov. 2007, pp. 18-25. [Link]
14. C. Shen and M. van der Schaar, "Optimal Resource Allocation in Wireless Multiaccess Video Transmissions," in Proc. IEEE International Conference on Communications 2007 (ICC ¡¯07), June 2007. [Link]
13. B. Foo and M. van der Schaar, "Graceful quality degradation for video decoding systems through priority scheduling and processor power adaptation," in Proc. IEEE Int. Conf. Image Process., 2007 (ICIP ¡¯07), to appear. [Link]
12. B. Foo, Y. Andreopoulos, and M. van der Schaar, "Analytical Complexity Modeling of Wavelet-based Video Coders," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process., 2007 (ICASSP ¡¯07), vol. 3, Apr. 2007, pp. 789-792. [Link]
11. F. Fu and D. S. Turaga and O. Verscheure and M. van der Schaar and L. Amini, "Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Process., 2007 (ICASSP ¡¯07), Apr. 2007, pp. 1085-1088. [Link]
10. H. Park and M. van der Schaar, "Fairness Strategies for Multi-user Multimedia Applications in Competitive Environments using the Kalai-Smorodinsky Bargaining Solution," in Proc. IEEE Int. Conf. Acoust., Speech, and Signal Process. 2007 (ICASSP ¡¯07), vol. 2, Apr. 2007, pp. 713-716. [Link]
9. H. Park and M. van der Schaar, "Multi-User Multimedia Resource Management using Nash Bargaining Solution," in Proc. 2007 IEEE Int. Conf. Acous., Speech, and Signal Process. 2007 (ICASSP ¡¯07), vol. 2, Apr. 2007, pp. 717-720. [Link]
8. Y. Andreopoulos, M. van der Schaar, Z. Hu, S. Heo, S. Suh, "Scalable Resource Management for Video Streaming Over IEEE802.11A/E," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. 2006 (ICASSP ¡¯06), vol. 5, 2006, pp. 361-364. [Link]
7. F. Fu, A. R. Fattahi, and M. van der Schaar, "Game-Theoretic Paradigm for Resource Management in Spectrum Agile Wireless Networks," in Proc. 2006 IEEE Int. Conf. Multimedia & Expo (ICME ¡¯06), 2006, pp. 873-876. [Link]
6. N. Mastronarde, Y. Andreopoulos, M. van der Schaar, D. Krishnaswamy, and J. Vicente, "Cross-layer Video Streaming Over 802.11e-Enabled Wireless Mesh Networks," in Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. 2006 (ICASSP ¡¯06), vol. 5, 2006, pp. 433-436. [Link]
5. N. Mastronarde, D. S. Turaga, and M. van der Schaar, "Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks," in Proc. IEEE Int. Conf. Image Process. 2006 (ICIP ¡¯06), 2006, pp. 1297-1300. [Link]
4. H. Shiang, D. Krishnaswamy, and M. van der Schaar, "Quality-aware Video Streaming over Wireless Mesh Networks with Optimal Dynamic Routing and Time Allocation," in Proc. 40th Asilomar Conf. on Signals, Systems, and Computers, Oct. 2006. [Link]
3. H. Shiang and M. van der Schaar, "Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-layer Priority Queuing Scheme," in Proc. IEEE Conf. on Intelligent Info. Hiding and Multimedia Signal Process. (IIH-MSP 2006), Dec. 2006, pp. 255-258. [Link]
2. R. Sood and M. van der Schaar, "Optimal media sharing policies in peer-to-peer networks," in Proc. SPIE, Nov. 2004, pp. 435-443. [Link]
1. A. Larcher, H. Sun, M. van der Schaar, and Z. Ding, "Decentralized Transmission Strategy for Delay-Sensitive Applications over Spectrum Agile Network," in Proc. 13th Int. Packet Video Workshop 2004 (PV 2004). (First paper on cognitive radios and dynamic spectrum access games) [Link]

Theses
Brian Foo (Graduation Date: May 2008),
Title: Towards a Systematic Approach for Modeling and Optimizing Distributed and Dynamic Multimedia Systems

Abstract:
Recent advances in low-power, multi-core and distributed computing technologies have opened up exciting research opportunities, as well as unique challenges, for modeling, designing, and optimizing multimedia systems and applications. First, multimedia applications are highly dynamic, with source characteristics and workloads that can change significantly within milliseconds. Hence, systems need to be able to optimally adapt their scheduling, resource allocation, and resource adaptation strategies on-the-fly to meet the multimedia applications' time-varying resource demands within the delay constraints specified by each application. Second, systems often need to support multiple concurrent multimedia applications and thus, (Pareto) efficient and fair resource management solutions for dividing processing resources among the competing applications need to be designed. Finally, some applications require distributed computing resources or processing elements, which are located across different autonomous sites. These different sites can collaborate in order to jointly process the multimedia data by exchanging information about their specific system implementations, algorithms and processing capabilities. However, exchanging this information among these autonomous entities may result in unacceptable delays or transmission overheads. Moreover, they may even refuse to share this information due to proprietary or legal restrictions. Thus, information-decentralization can present a major obstacle for optimizing the performance of delay-sensitive multimedia applications that require coordination and cooperation between distributed, autonomous sites.

This dissertation addresses the above challenges by providing a systematic framework for modeling and optimizing multimedia systems in dynamic, resource-constrained, and informationally-distributed environments. In particular, we propose a stochastic modeling approach to capture the dynamically changing utilities and workload variations inherent in multimedia applications. This approach enables us to determine analytical solutions for optimizing the performance of applications on resource-constrained systems. Furthermore, the problem of information-decentralization can be addressed in our framework by systematically decomposing the joint multi-applications and multi-site optimization problems, and designing corresponding mechanisms for exchanging model parameters, which characterize the utilities, constraints and features of the autonomous entities. This systematic decomposition enables entities to autonomously coordinate and collaborate under informational and delay constraints. Finally, to optimize the performance of the multimedia applications or systems in these distributed environments, we deploy multi-agent learning strategies, which enable individual sites or applications to model the behaviors of its competitors or peers and, based on this, select their optimal parameters, configurations, and algorithms in an autonomous manner. Summarizing, our framework proposes a unified approach combining stochastic modeling, systematic information exchange mechanisms, and interactive learning solutions for optimizing the performance of a wide range of multimedia systems.

A unique and distinguishing feature of our approach is the extent of multimedia algorithms and systems domain specific knowledge used in developing the proposed framework for modeling, and optimizing the interacting system components and applications. This is in contrast to existing distributed optimization or game theoretic approaches, which use simplistic utility - resource functions, and often ignore the dynamics and constraints experienced in actual multimedia systems. Instead, our developed modeling and optimization framework is directly shaped by the specific characteristics, constraints and requirements of multimedia systems. Specifically, the proposed framework provides pragmatic implementation solutions for (i) the optimization of dynamic voltage scaling algorithms for multimedia applications, (ii) energy-aware resource management for multiple multimedia tasks, and (iii) resource-constrained adaptation for cascaded classifier topologies in distributed stream mining systems.
Hyunggon Park (Graduation Date: Nov. 2008),
Title: Distributed and Dynamic Resource Management Strategies for Multimedia Networks using Cooperative Game Theoretic Approaches

Abstract:
This thesis proposes a distributed and dynamic multi-user resource management framework, which enables heterogeneous multimedia users that repeatedly interact in a dynamically varying network environment to strategically maximize their own utilities, given their private information. For this, we rely on cooperative game-theoretic concepts. For instance, we model the bilateral interactions among users as resource reciprocation games. Using our formulation, the resource reciprocation among the various peers in a peer-to-peer network is modeled as a stochastic game. Within this game, the peers can autonomously determine their optimal strategies for resource reciprocation using a Markov Decision Process (MDP) formulation. Unlike existing myopic solutions for resource reciprocation such as Tit-For-Tat, the optimal strategies determined based on MDP enable the peers to make foresighted decisions about resource reciprocation, such that they can explicitly consider both their immediate and future expected utilities. In the resource reciprocation games, the participating users need to mutually agree on a particular resource division. For this, we propose a methodology for designing utility-aware resource division solutions which are able to fulfill desired fairness axioms in terms of multimedia performance. We also show how the proposed resource management framework can also be successfully deployed in cognitive radio networks, wireless multimedia broadcasting, distributed stream mining systems, etc.

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