Current projects |
|
“Personalized
Photograph Ranking and Selection System Considering Positive and Negative
User Feedback”, ACM
TOMCCAP (Transactions on Multimedia
Computing, Communications and Applications), pp. 1-20, Vol. 10, Issue 4, Article Number 36,
June 2014. An aesthetic prediction model is
learned from labeled photographs by using the proposed image features and
RBF-ListNet learning algorithm. The experimental
results show that the proposed framework outperforms in the ranking
performance: a Kendall's tau value of 0.432 is significantly higher than those
obtained by the features proposed in one of the state-of-the-art approaches
(0.365) and by learning based on support vector regression (0.384). To
realize personalization in ranking, three approaches are proposed:
feature-based approach allows users to select photographs with specific
rules; example-based approach takes the positive feedbacks from users to
re-rank photograph; list-based approach takes both positive and negative
feedbacks from users into consideration. User studies indicate that all three
approaches are effective in both aesthetic and personalized ranking. |
|
|
Automatic Chinese Food Identification and Quantity Estimation, ACM Siggraph Asia 2012 Tech Brief Android
App (2014/6), “Cfood: Chinese Food Recognition” (Chinese
Food Menu Recognition Based on Contextual Thesaurus) Users can take photographs of the menus at hand and be able to know more about the foods and order them by identifying the menu texts using the app. Furthermore, brief nutrition information about the dish is also available in the app. |
|
|
Personalized Photo Ranking and Selection System ACM Multimedia 2010
We have proposed a novel personalized ranking system for amateur photos. While the features used in our system are similar to previous works, new features such as texture, RGB color, portrait (through face detection), and black-and-white are included for individual preferences. We show that (1) The performance of our system in terms of precision-recall diagram and binary classification accuracy (93%) is close to the best results to date for both overall system and individual features. (2) Two personalized ranking user interfaces are provided: the feature-based and example-based. Both are effective in providing personalized preferences, and twice more people prefer example-based in our user study |
|
|
Video Stabilization using Robust Feature Trajectories, ICCV 2009 (oral presentation) This paper proposes a new approach for video stabilization. |
|
|
Facial Performance Synthesis using Deformation-Driven Polynomial Displacement Maps ACM Transaction on Graphics (Siggraph Asia), 2008
|
|
|
Cubical Marching Squares 2005 |
Domain Connected Graph: The
Essential Skeleton of a 3D shape |
|
|
A Tool for
Alignment of Molecules |
3D
Model Retrieval |
|
|
3D Protein Model Retrieval 2004 |
Chinese
Painting Rendering |
|
|
Virtual Sculptor |
Realistic
3D facial animation parameters |
|
|
|
MPEG4 Synthetic/Natural Hybrid
Coding |
Video VR |
|
|
VR Talk |
Photo VR |
|
|
Image Talk |
MPEG-4
Rendering |
|
Previous projects |
|
The SpaceWalker
building walkthrough system |
Hair Rendering |
|
|
|
JAVA VRML Applet |
TheJavaGL 3D
Graphics Library for Java |
|
|
|
Medical Image Processing |
Tread-mill: a
VR device of walk-through system
3D Trackers
3D Sound
Motion Prediction
Gesture
Recognition
Motion Chair: a haptical device
Force Feedback Joystick: a haptical device
A
Shift-Resisting Public Watermark System for Protecting Image Processing
Software
Time
Shifting Resistant Digital Audio Watermarking Using Template Matching
Copyright c 1996,1997, Communications and Multimedia Laboratory, All rights
reserved.
Last Updated: 2006-03-30