The Internet Media group aims to build seamless yet efficient media systems through breakthroughs in fundamental theory and innovations in system technology. We address the problem of media content, format adaptation, and the generic scalability issues of computing systems in terms of bandwidth, processing capability, screen resolution, memory, and battery power.
Areas of Focus:
Project Titanium aims at bringing new computing experiences through enriched cloud-client computing. While data and programs can be provided as services from the cloud, the screen, referring to the entire collection of data involved in user interface, constitutes the missing third dimension. Titanium will address the problems of adaptive screen composition, representation, and processing, following the roadmap of Titanium Screen, Titanium Remote, Titanium Live, and Titanium Cloud. As “Titanium” suggests, it will provide a light-weight yet efficient solution towards ultimate computing experiences in the cloud plus service era.
Project Mira aims at enabling multimedia representation and processing towards perceptual quality rather than pixel-wise fidelity through a joint effort of signal processing, computer vision, and machine learning. In particular, it seeks to build systems not only incorporating this newly developed vision and learning technologies into compression but also inspiring new vision technologies by looking at the problem from the view of signal processing. By bridging vision and signal processing, this project is expected to offer a fresh frame of mind to multimedia representation and processing.
We envision that, with the development of sensing, networking, and storage technologies, the Internet will rapidly expand and grow into a universal network containing physical and virtual objects. This project will explore theoretical and engineering problems in such a network: at the edge, it considers massive data acquisition in wireless sensor networks and mobile networks; in the center, it addresses the interconnection between networks and data communications in their entire life cycle. This project will leverage and develop technologies in network coding, distributed compressive sensing, network optimization, and network protocols.
LiquidSilver is a media framework that works seamlessly across platforms, devices, and even applications. In LiquidSilver, media is represented in a scalable, portable, adaptive, and self-contained way. Unlike the traditional closed-form media systems, LiquidSilver consists of a set of media components and tools that facilitate capturing, editing, coding, delivery, and consumption throughout its life circle. This project advances multimedia technologies in broad Media 2.0 applications, and helps to create and consume media on demand.
Fundamental Theory for Media Representation
Despite much evolution of digital media representation, the underlying theory remains the same, leaving little room for further improvement. This project studies new representations of digital media based on the recent progresses on signal processing. We will investigate the fundamental signal processing theory for media representation leveraging local properties of the content; develop cutting-edge technologies to efficiently represent media for future standards; and build media representation systems to advance the state of the art.
- Feng Wu, Honghui Sun, Guobin Shen, Shipeng Li, Ya-Qin Zhang, Bruce Lin, Ming-Chieh Li, "SMART: an efficient, scalable and robust streaming video system", EURASIP on Applied Signal Processing, vol. 2, pp 192-206, 2004
- Lujun Yuan, Feng Wu, Qi Chen, Shipeng Li, Wen Gao,"The fast close-loop video transcoder with limited drifting error", IEEE International Symposium on Circuits and Systems (ISCAS), vol. 3, pp 769-772, 2004
- Alexis M. Tourapis, Feng Wu, Shipeng Li, "Direct mode coding for bi-predictive pictures in the H.264 standard", IEEE transaction on Circuits and Systems for Video Technology
- Wenpeng Ding, Feng Wu, Shipeng Li, "Lifting-based wavelet transform with directionally spatial prediction", PCS 2004.
- Lin Luo, Feng Wu, Shipeng Li, Zixiang Xiong, Zhenquan Zhuang, "Advanced motion threading for 3D wavelet video coding", Signal Processing: Image Communication, special issue on subband/wavelet video coding, 2004
- Ruiqin Xiong, Feng Wu, Shipeng Li, Zixiang Xiong, Ya-Qin Zhang, "Exploiting temporal correlation with adaptive block-size motion alignment for 3D wavelet coding", SPIE Visual Communications and Image Processing (VCIP), vol. 5308, pp 144-155, January 2004.
- Alexis M. Tourapis, Feng Wu, Shipeng Li, "Direct macroblock coding for predictive (P) pictures in the H.264 standard", SPIE Visual Communications and Image Processing (VCIP), vol. 5308, pp 364-371, January 2004
- Jizheng Xu, Feng Wu and Shipeng Li, "Transcoding for progressive fine granularity scalable video coding", IEEE International Symposium on Circuits and Systems, Vancouver, Cannada. May 2004.
- Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li, Ya-Qin Zhang, "Layered motion estimation and coding for fully scalable 3D wavelet video coding", International conference on image processing, Singapore. Oct, 2004.
- Bo Feng, Jizheng Xu, Feng Wu, Shiqiang Yang, Shipeng Li, "Energy distributed update steps (EDU) in lifting based motion compensated video coding", International conference on image processing, Singapore. Oct, 2004
- Xiangyang Ji, Jizheng Xu, Debin Zhao, Feng Wu, "Architectures of incorporating MPEG-4 AVC into three-dimensional wavelet video coding", Picture Coding Symposium, San Francisco, CA, USA, Dec 2004.
- Li Song, Jizheng Xu, Hongkai Xiong, Feng Wu, "Content adaptive update steps for lifting-based motion compensated temporal filtering", Picture Coding Symposium, San Francisco, CA, USA, Dec 2004.
- Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li, Ya-Qin Zhang, "Spatial scalability in 3D wavelet coding with spatial domain MCTF encoder",Picture Coding Symposium, San Francisco, CA, USA, Dec 2004.
- Ruiqin Xiong, Feng Wu, Jizheng Xu, Shipeng Li, Ya-Qin Zhang, "Barbell lifting wavelet transform for highly scalable video coding", Picture Coding Symposium, San Francisco, CA, USA, Dec 2004.
- You Zhou, Xiaoyan Sun, Shipeng Li, Hong Bao, "Weighted Motion Estimation for Static Scene Transitions", IEEE International Conference on Speech, Acoustics, and Signal Processing, vol 3, pp361-364, 2004
- Xiaoyan Sun, Feng Wu, Shipeng Li, Wen Gao, Ya-Qin Zhang, "Seamless switching of scalable video bitstreams for efficient streaming", IEEE transaction on multimedia, special issue on Video Streaming, vol. 6, no. 2, pp 291-303, 2004
- You Zhou, Xiaoyan Sun, Feng Wu, Hong Bao, Shipeng Li, "Flexible P-picture (FLEXP) coding for the efficient fine granular scalability (FGS)", International conference on image processing, 2004
- Jungong Han, Xiaoyan Sun, Feng Wu, Shipeng Li, Zhaoyang Lu, "Variable block-size transform and entropy coding at the enhancement layer of FGS", International conference on image processing, 2004
Feng Wu : firstname.lastname@example.org