Latest News
2013.03.01 new! - Reported by Jia He--Graph-based Interactive Image Segmentation
In this talk, I will mainly focus on the introduction of classic graph-based interactive image segm... detail
2013.02.08 - Reported by Harshad Kadu--Text detection in compound images
Part 1: Text detection in compound images Detecting the text regions in an image containing both text and graphics is an important task for many image processing applications like compound video compression, OCR, image retrieval, image content based searches, reading text in natural images for visually impaired subjects etc... detail
2013.01.11 Celp-Based Feature Extraction and Classification - Reported by Sphinx Tsau
Abstract: CELP( code excitation linear prediction) and its variation have been widely used in tele... detail
Media Communications Lab., led by Prof. C.-C. Jay Kuo in the USC Viterbi School of Engineering, is devoted to theoretical studies and practical applications of multimedia data processing, communication and networking technologies. Current research activities of the lab include: multimedia data compression, audiovisual content analysis, abstraction and management, graphic modeling and rendering, machine learning and computer vision Our research work has contributed to international standards such as JPEG2000, MPEG- 4, MPEG-7, H.263++. The lab is also working on emerging interdisciplinary areas that apply information technologies to biological applications such as genome and protein sequence analysis and novel bio-medical signal and image processing techniques.

There are about 30 PhD students and several postdoctoral research fellows/visiting scholars working in the lab. The lab has produced about 200 journal papers, 850 conference papers and 10 research monographs over the last 25 years. The alumni of the lab include 115 PhDs and 25 post-doctors. About one quarter of them work in academia and the rest in industrial research labs and companies. In addition to the government funding, the lab has a close tie with industrial companies and has received research grants from about 55 companies.

Communication Subgroup Communication Subgroup

We study and analyze critical issues in advanced communication systems including CDMA, OFDM, UWB and MIMO. Novel transmitter and receiver design methodology and algorithms have been proposed to overcome fading in wireless channels. Moreover, cross-layer design has been developed to provide better resource allocation on wireless sensor networks and cooperative networks.

Video Subgroup Video Subgroup

The major interest for the video subgroup includes efficient expression of digitized multimedia data and their applications. From the generic problem of rate-distortion optimization to the advanced computer vision based video encoding, diverse techniques are covered by our researches. Other than the video encoding problems, we are also interested in the robust behaviors of networked video and application centric cross-layer optimization of video communications as well.

Networking Subgroup Networking Subgroup

The research goal of networking group of media communication lab includes improve performance of existing wireless networks and propose innovative design for the next generation wireless systems. Current interests are peer-to-peer networking on MANET, coexistence analysis of Wi-Fi and BT and MAC solution, cognitive MAC, power-aware topology control for wireless ad-hoc networks and MAC protocol design for topology controlled wireless ad-hoc networks.

Computer Graphics Subgroup Computer Graphics Subgroup

Our research focuses on diverse fields in computer graphics including 3D data compression, time-varying geometry, simulation and rendering of liquids and clouds, physical based human motion synthesis, Non-Photorealsitic Rendering in video game, and simulation of interaction between plants and natural forces. Although different fields have different nature, the goals in our common quest include representational/computational efficiency and rendering quality.

Audio/Music Signal Processing Subgroup Audio/Music Signal Processing Subgroup

Audio/music signal subgroup aims to propose digital signal processing techniques to solve problems of audio and music applications. Our research interests could be categorized as: (1)computer perception of music: music onset and beat detection, music segmentation, instrument classification, (2) multimedia security: watermark, data hiding and (3) blind source separation: the separation of speech and music, separation of different sounds in music.

Biomedical Singal/Image Processing Subgroup Biomedical Singal/Image Processing Subgroup

Biomedical signal/image subgroup is dedicated on the research that using digital signal processing techniques to solve the critical problems of biological and medical developments. Our current interests include bioinformatics, ECG signal processing, heart rate variability, 3D graphic models of human organs and diseases.