Monthly Archives: February 2015

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    Professor Kuo Discussed Challenges and Opportunities in Computing and Communications on Big Data at ICNC 2015

Professor Kuo Discussed Challenges and Opportunities in Computing and Communications on Big Data at ICNC 2015

MCL Director, Professor C.-C. Jay Kuo, was invited to be a speaker and panelist in the Innovation Theme session “Big Data: Challenges and Opportunities in Computing and Communications” of the IEEE International Conference on Networking and Communications (ICNC), held in Anaheim, California, February 16-19, 2015. ICNC 2015 was technically co-sponsored by IEEE Computer Society and IEEE Communications Society, financially sponsored by Technology Innovation Association. It is alternately held in Hawaii and California every year.

Professor Kuo pointed out two main challenges in big data – the filtering problem and the prediction problem. The filtering problem refers to how to find useful and relevant information from a huge amount of data. Although data is in huge amount, the information of interest is little. A lot of noise exists and buries the important information. Professor Kuo used “finding a needle in a haystack” as an analogy. One immediate scientific method to address this problem is to develop a more advanced search engine for image/video exploiting computer vision techniques. The prediction problem asked how to predict future trends, for instance, to predict the explosion of a large flu or the results of political elections, based on existing data. Professor Kuo emphasized that we need to find out “does big data truly help increase prediction accuracy or does it in fact confuse people with noise”.

In addition, Professor Kuo, in his speech, addressed one challenge in big visual data communication, that is, the broadband video is too expensive to be transmitted in a massive distributed manner. He proposed an alternative, which is to exploit “semantic compression” where the computer vision technology can be used to tag video contents so that, instead of sending video, only meta data such as tags [...]

By |February 22nd, 2015|News|Comments Off on Professor Kuo Discussed Challenges and Opportunities in Computing and Communications on Big Data at ICNC 2015|

Professor Guanghui Liu visited MCL

On Tuesday (2/10), Professor Guanghui Liu, from University of Electronic Science and Technology of China (UESTC), visited the Multimedia Communication Lab. Professor Kuo and Liu introduced the recent research situation both in computer vision and digital communication to each other,shared some technical experience in projects and applications, discussed the challenges and trends in computer vision and digital communication. From the visit,Prof. Liu learned about the history and current situation of MCL, and hopes to establish cooperation with MCL both in student training and academic research in the future.

Prof. Liu received the M.Sc. and Ph.D. degrees in electronic engineering from UESTC, Chengdu, China, in 2002 and 2005, respectively. During 2005 – 2008, he worked as a senior Engineer in Samsung Electronics, South Korea. Since 2009, he has been with the School of Electronic Engineering of UESTC. His research interests include digital signal processing and telecommunications, with an emphasis on digital video transmission, and OFDM techniques. In these areas, he has published over 40 papers in refereed journals or conferences, and holds over 20 patents (granted and pending). He also served as the Publication Chair of the 2010 international symposium on Intelligent Signal Processing and Communication Systems.

By |February 17th, 2015|News|Comments Off on Professor Guanghui Liu visited MCL|

Ms. Lina Jin passed Her PhD dissertation Public Exam

Ms. Lina Jin started her PhD study from January 2011 at the Computing Imaging group, Department of Signal Processing, Tampere University of Technology, Finland. Since 2011, She has been co-supervised by Prof. C.-C. Jay Kuo from the University of Southern California. From October 2013 to December 2014, she has been working at Prof. Kuo’s Media Communications Lab as a visiting scholar.

Congratulations to Lina Jin for passing her public examination on January 30, 2015. The title of her dissertation is “Perceptual Quality Assessment for Visual Signal”. Her dissertation was pre-examined by Prof. Patrick LeCallet (Université de Nantes/Ecole Polytechnique de l’Université de Nantes, France) and Prof. Weisi Lin (Nanyang Technological University, Singapore). The opponent is Prof. Mårten Sjöström from Mid Sweden University, Sweden.

With the rapid growth of information technology and the Internet, image and video have become one part of our everyday life and their quality is of prime importance for numerous applications. The aim of realistic digital image and video is to create accurate, high quality imagery, which faithfully represents the physical environment. The ultimate goal is to create images that are perceptually indistinguishable from the actual scene. Thus, the automatic evaluation of image and video quality plays a critical role in the fields of image and video processing and there are many practical applications, such as quality monitoring to maintain Quality of Service (QoS) requirements, the evaluation of video processing for compression, and perceptually optimal design of video processing systems. Ms. Lina Jin’s dissertation investigates and analyses image artifacts resulting from various 2D and 3D image/video applications and explores human visual perception of different image artifacts through subjective experiments. She conducted in designing and building a large new image quality database, TID2013. TID2013 provides [...]

By |February 8th, 2015|News|Comments Off on Ms. Lina Jin passed Her PhD dissertation Public Exam|
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    “Cloud-based Media” Workshop to be Organized at IEEE ICME 2015

“Cloud-based Media” Workshop to be Organized at IEEE ICME 2015

To provide rich media services, multimedia computing has emerged as a technique to generate, edit, process, and search media contents, such as images, video, audio, graphics, and so on. Typical types of cloud-based services include: IaaS, NaaS, PaaS, IPMaaS, DaaS, and SaaS. In the same manner, future networks meet cloud via Network Function Virtualization and Software Defined Networking (SDN). Prosumers’ potential for hosting, delivering and interacting with Media Events requires a rich pool of resources and also a flexible set of provisions and guarantees upon users’ request. Towards this direction, Cloud Computing arises as a promising solution, being able to reserve assets on demand and guarantee their provisions over time. Existing resource reservation techniques are based either on a “fixed” model, so that to accommodate the anticipated peak demand but with low resource utilization during non-peak times, or on a “pay-as-you-go” model, where the cost is estimated for the total amount of information transferred, but subject to variation due to contention from other applications in the Cloud Data Center.

Decoupling hardware and software through virtualization is the most important reason for content providers to shift towards the cloud. The applications can be available always on, low in cost, on demand, massively scalable and pay as you grow among users with heterogeneous capabilities and characteristics. This will be accomplished through the design and development of an abstraction entity that is responsible to manage the media resources and the network capabilities, acting as a mediator between the client application and the media-aware cloud. The content can be processed to meet the device capabilities and the backhaul network bandwidth by aggregating requests from the end-users.

To address all the above technical issues in cloud-based media computing, Professor C.-C. Jay [...]

By |February 1st, 2015|News|Comments Off on “Cloud-based Media” Workshop to be Organized at IEEE ICME 2015|