He, Li Zhang, Hong
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
A fundamental problem in Nyström-based kernel matrix approximation is the sampling method by which training set is built. In this paper, we suggest to use kernel -means sampling, which is shown in our works to minimize the upper bound of a matrix approximation error. We first propose a unified kernel matrix approximation framework, which is able to...
Meng, Jingjing Wang, Suchen Wang, Hongxing Yuan, Junsong Tan, Yap-Peng
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Video contents are inherently heterogeneous. To exploit different feature modalities in a diverse video collection for video summarization, we propose to formulate the task as a multiview representative selection problem. The goal is to select visual elements that are representative of a video consistently across different views (i.e., feature moda...
Zhang, Yigong Su, Yingna Yang, Jian Ponce, Jean Kong, Hui
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we propose a vanishing-point constrained Dijkstra road model for road detection in a stereo-vision paradigm. First, the stereo-camera is used to generate the u- and v-disparity maps of road image, from which the horizon can be extracted. With the horizon and ground region constraints, we can robustly locate the vanishing point of roa...
Ghadiyaram, Deepti Pan, Janice Bovik, Alan C
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Over-the-top adaptive video streaming services are frequently impacted by fluctuating network conditions that can lead to rebuffering events (stalling events) and sudden bitrate changes. These events visually impact video consumers' quality of experience (QoE) and can lead to consumer churn. The development of models that can accurately predict vie...
Zhou, Wujie Yu, Lu Zhou, Yang Qiu, Weiwei Wu, Ming-Wei Luo, Ting
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
The blind quality evaluation of screen content images (SCIs) and natural scene images (NSIs) has become an important, yet very challenging issue. In this paper, we present an effective blind quality evaluation technique for SCIs and NSIs based on a dictionary of learned local and global quality features. First, a local dictionary is constructed usi...
Gao, Bin Li, Xiaoqing Woo, Wai Lok Tian, Gui Yun
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Thermographic inspection has been widely applied to non-destructive testing and evaluation with the capabilities of rapid, contactless, and large surface area detection. Image segmentation is considered essential for identifying and sizing defects. To attain a high-level performance, specific physics-based models that describe defects generation an...
Zhou, Yuan Rangarajan, Anand Gader, Paul D
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Hyperspectral unmixing while considering endmember variability is usually performed by the normal compositional model, where the endmembers for each pixel are assumed to be sampled from unimodal Gaussian distributions. However, in real applications, the distribution of a material is often not Gaussian. In this paper, we use Gaussian mixture models ...
Zhang, Jiachao Jia, Jie Sheng, Andong Hirakawa, Keigo
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We propose a new pixel binning scheme for color image sensors. We minimized distortion caused by binning by requiring that the superpixels lie on a square sampling lattice. The proposed binning schemes achieve the equivalent of 4.42 times signal strength improvement with the image resolution loss of 5 times, higher in noise performance and in resol...
Gul, M Shahzeb Khan Gunturk, Bahadir K
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from a single shot. Micro-lens array (MLA) based light field cameras offer a cost-effective approach to capture li...
Green, Oded
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Median filtering is a smoothing technique for noise removal in images. While there are various implementations of median filtering for a single-core CPU, there are few implementations for accelerators and multi-core systems. Many parallel implementations of median filtering use a sorting algorithm for rearranging the values within a filtering windo...
