Monthly Archives: November 2014

Interview with Visiting Scholar Dr. Zhaojun Nie

In November 2014, a new visiting scholar, Dr. Zhaojun Nie joined MCLab. Dr. Nie received her PhD degree from McMaster University at Hamilton, Canada in June 2014. Now we have an interview with her, talking about her research interests and future expectations.


1. Could you briefly introduce yourself and your previous research experiences?

I received my BS degree in Electrical Engineering from Xi’an Institute of Post & Telecommunication in 2007, and received my MSc degree in Optoelectronics Engineering from Beijing Institute of Technology in 2009. In June 2014, I received the PhD degree in Biomedical Engineering from McMaster University at Hamilton, Canada. My previous research focused on optical imaging and spectroscopic system design for biomedical and clinical applications, as well as clinical data analysis and classification to increase the diagnostic accuracy of tumor detection.


2. What is your first impression of USC and MCLab?

USC is a famous university. I am glad that I have this opportunity to visit USC and join the MCLab. USC campus is very beautiful. The students are all very smart and hard-working. The MCLab is a big family, where members frequently exchange ideas, share experiences and help each other. The atmosphere of active discussion is quite inspiring. Prof. Kuo is also very nice and students benefit from his prompt feedback and guidance. In addition, I think the arrangement of weekly seminar is very helpful, which provides me with a chance to know everyone’s research work. In general, I enjoy my time at MCLab very much.


3. What is your future expectation in MCLab?

The MCLab is known by its researches in image processing and computer vision. Some related techniques are widely used in various fields, including my previous research focus, medical and clinical applications. Therefore, [...]

By |November 23rd, 2014|News|Comments Off on Interview with Visiting Scholar Dr. Zhaojun Nie|

Interview with Visiting Scholar Prof. Chenhui Yang

In November 2014, MCLab has a new visiting scholar, Professor Chenhui Yang. Prof. Yang is Professor at School of Information Science and Technology, Xiamen University, Xiamen, China. We are glad to have an interview with him, talking about his previous research experiences and future expectations at USC.


1. Could you briefly introduce yourself and describe your previous research experience?

I come from Xiamen University (XMU), one of the ten most beautiful universities in China. Before joining XMU in 1995, I received my Bachelor and Master degrees from NUDT (National University of Defense Technology) in 1989 and 1992 respectively, and Ph.D. from Zhejiang University (ZJU). My academic research areas include intelligent multimedia technology and data mining. Specific research topics include video-audio analysis, image recognition, 3D reconstruction, 3D printing, 3D simulation, big data mining and clouding computing. I am also interested in finding computational solution to some problems from other disciplines, such as intelligent transportation and security, bioinformatics, health and medical informatics, smart city, and computational sociology, etc. I also co-founded two start-ups. Though I did not succeed in entrepreneurship, I still have a strong ambition to invent something helpful in the future.


2. What is your first impression of USC and MCLab?

USC is very large and deeply internationalized, considering the diversity of students, faculties, architecture styles and campus culture. What I love most is the interdisciplinary programs and groups. Professor Kuo and the MCLab are world widely famous. I was surprised that MCLab manages to keep thriving while some other academic groups are shrinking in such a tide of financial crisis. Prof. Kuo is one of the best professors I know, who has creative ideas, lasting passion, rich experiences and deep love to his students. All MCLab members are very bright, enthusiastic, [...]

By |November 16th, 2014|News|Comments Off on Interview with Visiting Scholar Prof. Chenhui Yang|
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    New Results on Objective Quality Index for Retargeted Images Presented at ACM MM


New Results on Objective Quality Index for Retargeted Images Presented at ACM MM

Content-aware image retargeting is a technique that resizes images for optimum display on devices with different resolutions and aspect ratios. Traditional objective quality of experience (QoE) assessment methods are not applicable to retargeted images because the size of a retargeted image is different from its source. Dr. Jiangyang Zhang, a former MCL member and Professor C.-C. Jay Kuo, MCL Director, identified three main determining factors for humans visual QoE on retargeted images. They are global structural distortion (G), local region distortion (L) and loss of salient information (S). Zhang and Kuo selected features to quantify these respective distortion degrees and developed objective quality assessment index, called GLS, to predict viewers’ QoE by fusing selected features into one single quality score. The proposed GLS quality index has stronger correlation with human QoE than other existing objective metrics in retargeted image quality assessment with respect to two subjective image retargeting quality databases. The work was presented in the ACM Multimedia Conference on November 5 in Orlando, Florida.

A joint photo of Dr. Zhang and Prof. Kuo and a photo of Prof. Kuo together with ACM MM conference organizers and a Keynote Speaker, Prof. Rosalind Picard of MIT Media Lab (number 3 from the right), are shown.

By |November 9th, 2014|News|Comments Off on New Results on Objective Quality Index for Retargeted Images Presented at ACM MM|
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    MCL Collaborates with Cardiovascular Engineering Research Laboratory (CERL) in UCLA and Cardiovascular Genetics Clinic (CGC) in UCSD

MCL Collaborates with Cardiovascular Engineering Research Laboratory (CERL) in UCLA and Cardiovascular Genetics Clinic (CGC) in UCSD

MCL director Prof. C. -C. Jay Kuo is collaborating with CERL director Prof. Tzung Hsiai and CGC director Dr. Neil Chi to study how genetic programming is associated with congenital heart disease. They will study the heart development of the embryos of live zebrafish. The embryos of live zebrafish had Gata1a morpholino oligonucleotides (MO) micro-injection reduced erythropoiesis, which reduced viscosity by 70%. CERL research associate Dr. Peng Fei used single plane illumination microscopy (SPIM) technique to scan 1000 x-y frames in each plane from the top end of the zebrafish heart to the bottom end. MCL PhD student Hao Xu developed period determination, synchronization, and alignment algorithm to reconstruct 4-dimentional model (3-dimentional model over time) based on SPIM captured image sequences. CERL PhD candidate Juhyun Lee will use Amira to compute wall boundary conditions of the 4-dimentional model and introduce 3-dimentional Computation Fluid Dynamics (CFD) to simulate wall shear stress (WSS). The initial results have been published in BMES [1].

MCL is glad that its advanced image processing algorithm development capacity can be used to assist cardiovascular research. MCL will continue provide useful image processing tools that works in various areas of research.

[1]. Juhyun Lee, Peng Fei, Hao Xu, Chih-ming Ho, C.-C. Jay Kuo, Neil Chi and Tzung Hsiai, “Linking between cardiac trabeculation development and wall shear stress with 4-dimenstional single plane illumination microscopy,” Biomedical Engineering Society (BMES) annual meeting, San Antonio, Texas, USA, October 22-25, 2014.

By |November 2nd, 2014|News|Comments Off on MCL Collaborates with Cardiovascular Engineering Research Laboratory (CERL) in UCLA and Cardiovascular Genetics Clinic (CGC) in UCSD|