• Publications
  • Influence
Color Local Texture Features for Color Face Recognition
TLDR
Compared with grayscale texture features, the proposed color local texture features are able to provide excellent recognition rates for face images taken under severe variation in illumination, as well as for small- (low-) resolution face images.
MPEG‐7 Homogeneous Texture Descriptor
TLDR
Experimental results show that the MPEG‐7 texture descriptor gives an efficient and effective retrieval rate, and it gives fast feature extraction time for constructing the texture descriptor.
Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition
TLDR
Experimental results show that the proposed LCVBP feature is able to yield excellent FR performance for challenging face images, and has successfully been tested by comparing other state-of-the-art face descriptors.
Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition
TLDR
A new spatio-temporal feature representation learning for FER that is robust to expression intensity variations is proposed that achieved higher recognition rates in both datasets compared to the state-of-the-art methods.
Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations
TLDR
The experimental results showed that the proposed method outperformed state-of-the-art micro-expression recognition methods in terms of recognition accuracy.
Predicting Visual Discomfort of Stereoscopic Images Using Human Attention Model
TLDR
A new objective assessment method for visual discomfort of stereoscopic images that makes effective use of the human visual attention model and can achieve significantly higher prediction accuracy than the state-of-the-art methods.
An Evaluation of Bitrate Adaptation Methods for HTTP Live Streaming
TLDR
This paper investigates typical adaptation methods in the context of live video streaming and finds that the perceptual impact depends not only on adaptation method but also on the content itself.
Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks
TLDR
The proposed collaborative FR framework has a low computational cost and comes with a design that is suited for deployment in a decentralized OSN, and is able to significantly improve the accuracy of face annotation, compared to conventional FR approaches that only make use of a single FR engine.
Color Face Recognition for Degraded Face Images
TLDR
It is demonstrated that facial color cue can significantly improve recognition performance compared with intensity-based features and a new metric called ldquovariation ratio gainrdquo (VRG) is proposed to prove theoretically the significance of color effect on low-resolution faces within well-known subspace FR frameworks.
Predicting Visual Discomfort Using Object Size and Disparity Information in Stereoscopic Images
TLDR
Experimental results demonstrate that the combined use of the proposed object-dependent disparity features substantially improve the prediction performance of the conventional disparity magnitude- and spatial complexity-related features.
...
...