—Augmented reality, interactive navigation in 3D scenes, multiview video and other emerging multimedia applications require large sets of images hence larger data volumes and inc...
Thomas Maugey, Giovanni Petrazzuoli, Pascal Frossa...
—In this paper, we propose a novel model for the computational color constancy, inspired by the amazing ability of the human vision system (HVS) to perceive the color of objects ...
—In this paper, we propose a fine-grained image categorization system with easy deployment. We do not use any object/part annotation (weakly supervised) in the training or in th...
—Compact Descriptors for Visual Search (CDVS) is a recently completed standard from the ISO/IEC Moving Pictures Experts Group (MPEG). The primary goal of this standard is to prov...
Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen 0006, ...
—Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed. However, each object detector relies on specific ...
—We propose a novel reconstruction based transfer learning method called Latent Sparse Domain Transfer (LSDT) for domain adaptation and visual categorization of heterogeneous dat...
—A novel sub-Markov random walk (subRW) algorithm with label prior is proposed for seeded image segmentation, which can be interpreted as a traditional random walker on a graph w...
Xingping Dong, Jianbing Shen, Ling Shao, Luc Van G...
— Electric Potential (EP) signals are produced in plants through intracellular processes, in response to external stimuli (e.g. watering, mechanical stress, light, acquisition of...
— Yawning detection has a variety of important applications in driver fatigue detection, well-being assessment of humans, driving behaviour monitoring, operator attentiveness det...
—Measuring and quantifying color defects in flat panel displays (FPDs) are critical in the FPD industry and related business. Color defects are traditionally investigated by pro...