Yang F.,Vimicro Corporation |
Yang F.,Beijing University of Technology |
Xiao F.,Vimicro Corporation |
Cui G.-Q.,Vimicro Corporation |
And 2 more authors.
International Conference on Signal Processing Proceedings, ICSP | Year: 2017
The dynamic range of the luminance of the scenes surrounding us are mostly very wide in all time of a day. High performance cameras were designed to capture these luminance with longer digits in their pixels. However, conventional displays can only render pixels with eight bits per channel, making the devices the bottleneck among the whole pipeline. As an effort to narrow this gap, this paper presents an improved strategy based on existing tone reproduction algorithms. It aims to provide good luminance range compression while preserving fine details of the contents. Experiments demonstrate that the presented algorithm can be successfully applied to the rendition of both natural and synthesized scenes, with high dynamic range or low radiance. © 2016 IEEE.
Pan H.,Nanjing University of Science and Technology |
Huo H.,East China Institute of Technology |
Cui G.,Vimicro Corporation |
Chen S.,Zhejiang University of Technology
Mathematical Problems in Engineering | Year: 2013
This paper surveys the modeling methods for deformable human body and motion analysis in the recent 30 years. First, elementary knowledge of human expression and modeling is introduced. Then, typical human modeling technologies, including 2D model, 3D surface model, and geometry-based, physics-based, and anatomy-based approaches, and model-based motion analysis are summarized. Characteristics of these technologies are analyzed. The technology accumulation in the field is outlined for an overview. © 2013 Hailang Pan et al.
Huang X.,Vimicro Corporation |
Cui G.,Vimicro Corporation |
Zhang Y.,Vimicro Corporation
2014 IEEE International Conference on Image Processing, ICIP 2014 | Year: 2014
This paper presents a fast non-local disparity refinement method based on disparity belief propagation. The disparity belief fast propagated on a minimum spanning tree only need two sequential passes, first from leaf nodes to root, then from root to leaf nodes. Computational complexity of each pixel at all disparity levels is O(1). Performance evaluation on standard Middlebury data sets shows that the proposed method outperforms local refinement method both in accuracy and speed. Compared with the existing nonlocal disparity refinement method, the proposed method shows about maximum 15× faster speed at almost the same accuracy. © 2014 IEEE.
Vimicro Electronics Corporation and Vimicro Corporation | Date: 2010-03-23
Techniques pertaining to noise reduction are disclosed. According to one aspect of the present invention, noise in an audio signal is effectively reduced and a high quality of a target voice is recovered at the same time. In one embodiment, an array of microphones is used to sample the audio signal embedded with noise. The samples are processed according to a beamforming technique to get a signal with an enhanced target voice. A target voice is located in the audio signal sampled by the microphone array. A credibility of the target voice is determined when the target voice is located. The voice presence probability is weighted by the credibility. The signal with the enhanced target voice is enhanced according to the weighed voice presence probability.
Vimicro Corporation | Date: 2013-11-07
A method for noise reduction is provided including: beamforming audio signals sampled by a microphone array to get a signal with an enhanced target voice and a signal with a weakened target voice; locating a target voice in the audio signal sampled by the microphone array; determining a credibility of the target voice when the target voice is located; updating an adaptive filter coefficient according to the credibility, and filtering the signal with the enhanced target voice and the signal with the weakened target voice according to the updated adaptive filter coefficient to get a signal with reduced noise; and weighing a voice presence probability by the credibility, and enhancing the signal with reduced noise according to the weighed voice presence probability.