Welcome to the
homepage of the Multimedia
Communications Laboratory at the ECE department of the University of
Services For Lab Members
Image Vote System
BicDroid QM-secure multimedia , Free to download from Google play on Android phones.
BicDroid QDocument , the ultimate solution for protecting and securely sharing sensitive data. Free to download for Windows 7 and above.
Multicom Lab is looking for Java/Android application developer with a minimum of 1-2 years experience to create, maintain web front ends for data management systems. Details
- Our lab is
recruiting PH.D. and Postdoc. in the area of Video
Compression, big data, image management and machine learning.
- The candidates should have solid background on video compression and machine learning and should be proficiency in C/C++ programming.
- Basic understanding of information theory, coding and machine learning is required.
- Experience on video standard and big data is recommended.
- Knowledge of video conferencing and image management is preferred.
- Our mission: Make a real difference in the theory and practice
of multimedia compression/communications, where publication and
patent filing are only a small
part of the whole process.
- Our activities: Range from lossless compression to lossy
compression, from text compression and image/audio coding to video
coding, from single resolution coding to multi-resolution (scalable)
coding, from 3O (one source, one encoder, and one decoder) coding to
distributed coding and interactive encoding/decoding, from
watermarking to joint watermarking and compression, from joint
source-channel coding to wireless video multicast, and from theory
to algorithms and to practice with real impact.
- Our approach: Emphasize on excellence in both theory and
practice---all our algorithm inventions are based on our original
- Our achievement -- Partial list:
- Transparent composite model for DCT coefficients and the corresponding
application in video and image coding.
- Jar decoding
- Grammar-based coding---Regarded as one of the most important
contributions to universal lossless source coding of individual
sequences since 1970s
- Yang-Kieffer (YK) compression algorithms---the state of the art of
universal on-line lossless compression for email and web
- Computation approach to lossy compression pioneered along with Ziv
and others, which is in parallel with Shannon's classic
probabilistic approach and arguably has more impact on compression
- State of the art of GIF/PNG optimizer
- State of the art of JPEG optimizer
- State of the art of H.264 video encoding
- Soft decision quantization (SDQ) and its algorithms for
image and video coding (used in open sources and standards
(existing, de facto, and ongoing). For example, VP8 and WebP, which are
supported in in Android devices since Android 4.3, use a trellis-based
search process to quantize a block of DCT coefficients. VP9, as the successor to VP8,
which YouTube uses right now, uses a similar quantization process to that in VP8.
- Causal video coding theory
- Around 200 patents/patent applications worldwide
- Impact on the daily life of hundreds of millions people
worldwide either through commercialized products, or codec open
sources, or codec standards.