Yap-Peng Tan

TL;DR: A frame-level quantization control approach for perceptual quality constrained video coding which aims to compress video at a certain perceptual quality level is presented and a general learning-based framework in which different video quality measures can be adopted is developed.

TL;DR: A new adaptive discriminant analysis (ADA) method is proposed by imposing large penalties on interclass samples with small differences and small penalties on those samples with large differences simultaneously, such that the discriminating power of the extracted features can be boosted for view recognition.

TL;DR: A novel strategy of simultaneously tracking and segmentation is proposed for human respiratory rate estimation from thermal infrared, which can be applicable to contact-free polygraphy, airport health screening and patient monitoring system and also utilized for any applications regarding the automatic detection and tracking of pixels experiencing periodic intensity variation.

TL;DR: Two new and efficient block-matching algorithms for fast motion estimation which is commonly used in motion-compensated video compression are presented and outperform conventional algorithms in terms of both peak signal-to-noise ratio and the number of search points evaluated.

TL;DR: The proposed DRC method has the following three desirable properties: discriminability: DRC can leverage the label information of training data and is supervised in both representation and classification, thus improving the discriminative ability of the representation vector; efficiency: it has a closed-form solution and is efficient in computing the representation vectors and performing classification; and theory: it also has theoretical guarantees for classification.