Monthly Archives: June 2014

MCLab Hosts three High School Students

MCLab provides summer intern position to three 11th grade high school students, Allison, Harry, and Kaiwen. During this summer, they are taking two courses and working on one project, which are listed as following:
Web Analysis and Design (taught by Brian Lan and Becky Qiu) – Hosts on  Tuesday between 2 and 4 pm and Friday from 10 am to 12 pm
Entrepreneurship (taught by Prof Kuo) – Hosts on Thursday from 2 to 4 pm
Project (supervised by Xin Zhang and Weihao Gan) – Get acquainted with Microsoft Kinect system and learn to develop applications based on it

We also have the chance to interview with those three students about their backgrounds and interests.

Allison: I am an incoming senior at Arcadia High School. I am part of my school’s varsity percussion team. It’s really awesome. If you’re interested, I’d be excited to share some videos and tell you what it is we do. I am also currently working as a waitress at Stonefire Grill. I have two cats. My two cats, best friends, and family are the people I hold closest in my heart(: As for academic interests, I’m dabbling in different things in hopes of discovering something I am passionate about.

Harry: I am currently a rising senior at the Harker School in San Jose. I like to study Mathematics and Sciences in the classroom and enjoy swimming and playing water polo in my free time. As an avid student, I plan on continuing to study Computer Science or engineering in college. Outside of school, I also enjoy surfing the web and watching tv shows.

Kaiwen: I’m an incoming senior at Arcadia High School. I’m part of my school’s Math Team and Physics Team  and am president of a club [...]

By |June 29th, 2014|News|Comments Off on MCLab Hosts three High School Students|
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    MCLab Director, Professor Kuo, Offers A Short Summer Course on “Entrepreneurship” to Its Members

MCLab Director, Professor Kuo, Offers A Short Summer Course on “Entrepreneurship” to Its Members

MCLab Director, Professor Jay Kuo, is giving a series of lectures on “entrepreneurship” to its members during the summer time. The content includes the following:

Lecture #1: What is an entrepreneur?

Lecture #2: What do you expect in a “start-up” process?

Lecture #3: Look for “start-up” ideas and be prepared to move

Lecture #4: Innovation and execution

Lecture #5: Build up a strong team

Lecture #6: Marketing and sale

Lecture #7: Local support and globalization

Professor Kuo said that “It is important to equip engineering students with some knowledge in entrepreneurship since they may have a new perspective on their future career path. It is fortunate for me to know many friends who are industrial leaders with strong entrepreneurship spirit. They let me understand the value of technology from the business viewpoint. It is fresh and inspiring. Furthermore, it helps me shape my research agenda. I hope that this series of lectures can be motivating our lab members to look at things from a more diversified angle.”

The first lecture was given in the afternoon of June 19th. It was very well attended.

By |June 22nd, 2014|News|Comments Off on MCLab Director, Professor Kuo, Offers A Short Summer Course on “Entrepreneurship” to Its Members|
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    Congratulations to 4 MCLab Members for Passing their Defenses

Congratulations to 4 MCLab Members for Passing their Defenses

Congratulations to four members of MCLab, Martin Gawecki, Tsung-Jung Liu, Kuan-Hsien Liu, and Xue Wang for passing their Defenses in the last week.

Martin Gawecki’s dissertation title is “SIGNAL PROCESSING APPROACH TO ROBUST JET ENGINE FAULTDETECTION AND DIAGNOSIS”. His Dissertation Committee includes: Jay Kuo (Chair), Keith Jenkins and Aiichiro Nakano (Outside Member).The Committee was very pleased with his work in applying signal processing techniques to the solution of real-world problems. It demands a good understanding of the whole problem and the access to some valuable data. This bridging effort has been highly appreciated.

Tsung-Jung Liu’s thesis title is “A LEARNING-BASED APPROACH TO IMAGE QUALITY ASSESSMENT”. His dissertation committee members include: Jay Kuo (Chair), Panayiotis Georgiou and Aiichiro Nakano (Outside Member). They were amazed by the quality of his work and an impressive publication list as a result of his research.

Kuan-Hsien Liu’s thesis title is “FACIAL AGE GROUPING AND ESTIMATION VIA ENSEMBLE LEARNING”. His dissertation committee members include: Jay Kuo (Chair), Panayiotis Georgiou, Suya Yu, and Aiichiro Nakano (Outside Member). The Committee was impressed with the novelty of his proposed face-image-based age estimation methods as well as their excellent performance as compared with other state-of-the-art algorithms. The Committee also encouraged him to submit the high quality work to top-ranked journal/conference.

Xue Wang’s dissertation title is “Machine Learning Based Techniques for Biomedical Image/Video Analysis”. Her dissertation committee includes: Jay Kuo (Chair), Sandy Sawchuk (Co-Chair) and Jesse Yan (Outside Member). The Committee was very satisfied with the excellent presentation and results delivered by Xue.

We all wish them the best for their next step.

By |June 15th, 2014|News|Comments Off on Congratulations to 4 MCLab Members for Passing their Defenses|
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    Enabling “Internet of Things” – A New Research Focus of MCLab

Enabling “Internet of Things” – A New Research Focus of MCLab

Professor C.-C. Jay Kuo announced a new research focus of MCLab on “Internet of Things (IOT)”. Professor Kuo said that the concept of IOT and some of its implementations had existed for years yet sparsely in isolated areas such as Fedex/UPS mailing systems, smart green building, smart home, etc. The connection between IOT and cloud/distributed computing platform and the emergence of wearable devices make an extensive IOT deployment a reality. Enabling technologies for IOT systems include: sensing (data acquisition), networking (data exchange/aggregation), computing (data analytics), storage (data preservation), control (decision making) and security/privacy of data and systems.

By leveraging on its core competence, MCLab will have emphasis on visual sensors acquired by video and depth cameras and conduct video analytics to recognize people, scene and environment and to understand human emotions, activities, behaviors. These techniques can be applied to effective learning, video surveillance, assistance to blind, automated driving, etc.

*Images are from:

Cisco & Beecham Research, http://blog.atlasrfidstore.com/internet-of-things-and-rfid

China Internet Network Information Center, http://www1.cnnic.cn/ScientificResearch/LeadingEdge/wlw1/

 

By |June 8th, 2014|News|Comments Off on Enabling “Internet of Things” – A New Research Focus of MCLab|

MCLab Releases the New Video Database: MCL-V

The high-definition video broadcasting and streaming services are blooming nowadays.  Consumers can enjoy on-demand video services from Netflix, Hulu or Amazon, and watching high-definition (HD) programs becomes the mainstream for video content consumption. According to the latest report, more than half of US population watches on-line movies or dramas. Specifically, the viewers have increased from 37% in 2010 to 51% in 2013. The watched video programs vary in bit rates and resolutions due to the available bandwidth of their networks. Different sizes of video are transmitted at lower bit rates and up-scaled for display on HDTV (e.g., playing a 720p movie on the 1080p screen). This is common in people’s daily life, yet video quality assessment on HD streaming video has not yet been extensively studied in the past.

To fulfill the need, MCLab has released a new video image database recently, which is called MCL-V. This database captures two typical video distortion types in video services. It contains 12 source video clips and 96 distorted video clips with subjective assessment scores.  The source video clips are selected from a large pool of public-domain HD video sequences with representative and diversified contents. Both distortion types are perceptually adjusted to yield distinguishable distortion levels. An improved pairwise comparison method is adopted for subjective evaluation. Furthermore, several existing image and video quality assessment algorithms are evaluated against MCL-V database.  MCL-V is publicly accessible to facilitate future video quality research of the community.

Download link: http://mcl.usc.edu/mcl-v-database/

By |June 1st, 2014|News|Comments Off on MCLab Releases the New Video Database: MCL-V|