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Screen content images are originally captured in a full-chroma format. The chroma downsampling, which is commonly applied to the chroma component in screen content image representation and processing (e.g., YUV4:2:0 compression), will significantly degrade the image quality and create annoying artifacts such as blur and color shifting. To tackle this problem, in this paper we propose luma aware chroma...
Finding highlights relevant to a text query in unedited videos has become increasingly important due to their unprecedented growth. We refer this task as semantic highlight retrieval and propose a query-dependent video representation for retrieving a variety of highlights. Our method consist of two parts: (1) “viralets”, a mid-level representation bridging between visual and semantic spaces; (2) a...
We developed an optical distortion correction technique for an eyeglasses-type wearable device using a multi-mirror array (MMA). This wearable device is small and light weight, but optics using MMA can cause optical distortions, such as geometric distortion and chromatic aberration of magnification, that depend on the user's pupil distance and degrade the visibility of displayed virtual images. We...
In this paper, we propose a reduced-reference (RR) objective quality assessment method that quantifies the perceived quality of synthesized textures. The proposed metric is based on measuring the granularity, regularity, and statistical attributes of the texture image. Furthermore, the proposed RR metric exhibits a significantly low overhead as compared to existing RR metrics by only requiring the...
We propose in this paper a novel perceptual viewpoint-independent metric for the quality assessment of 3D meshes. This full-reference objective metric relies on the method proposed by Wang et al. [1] that compares the structural informations between an original signal and a distorted one. In order to extract the structural informations of a 3D mesh, we use a multi-scale visual saliency map on which...
Intra-frame prediction in the High Efficiency Video Coding (HEVC) standard can be empirically improved by applying sets of recursive two-dimensional filters to the predicted values. However, this approach does not allow (or complicates significantly) the parallel computation of pixel predictions. In this work we analyze why the recursive filters are effective, and use the results to derive sets of...
Measuring visual quality, as perceived by human observers, is becoming increasingly important in the many applications in which humans are the ultimate consumers of visual information. This paper assesses the visual quality in mapping of high dynamic range (HDR) images to standard dynamic range (SDR) images with 8 bits/color/pixel. In previous work, the Tone-Mapped image Quality Index (TMQI) compares...
Reflection removal aims at separating the mixture of the desired scene and the undesired reflections. Locating reflection and background edges is a key step for reflection removal. In this paper, we present a visual depth guided method to remove reflections. Our idea is to use Depth of Field (DoF) to label the background and reflection edges. We propose a DoF confidence map where pixels with higher...
Computing matching cost by Convolutional neural networks(CNNs) work well in fetching accurate dense disparity maps. But these methods still have problems: (1) they always employ equal weights for left and right images in convolutional layers, losing relational information of patches; (2) they don't solve the balance between patches' size and processing efficiency, the larger size the more information...
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models,...
As a new type of computer input device, touch screen provides a simple and natural human-computer interaction. But because the area of finger tapping the screen is larger, the touch screen is more likely lead to faulty operation than mouse. To solve this problem, this study selects the touch screen interface structures as the study object, combines with the application types, and explores the reasonable...
Retinopathy of prematurity (ROP) is a disease affecting low birth-weight infants and is the major cause of childhood blindness. Although accurate diagnosis is important, there is a high variability among expert decisions mostly due to subjective thresholds. Existing work focused on automated diagnosis of ROP. In this study, we construct a continuous severity index as an alternative to discrete classification...
The goal of this paper is to analyze the human stability during static postures using stabilometric signals. The effects of subject's visual input, feet position, age and gender are analyzed. Twenty eight healthy subjects have participated in this study. The center of pressure displacements were measured along the Medio-Lateral (ML) and Antero-Posterior (AP) directions. Empirical mode decomposition...
■ All memory continues to scale, increasingly difficult and complex ■ New DRAM architectures in work across all major application areas ■ Numerous very high bandwidth options with GDDR5X as highest BW/$ ■ HMC delivers unique advantages for ultra-high bandwidth applications ■ Emergence of Persistent Memory, first as DRAM+NAND NVDIMM - Evolving, enabling new and better products ■ 2016 production of...
Most of the current image retrieval systems for large scale database rely on the Bag-of-Words (BoW) representation and inverted index. We analyze these systems and find that the retrieval performance is largely determined by the discriminative ability of their inverted indexes. This motivates us to combine SIFT and local color features into a two-dimensional inverted index (TD-II). Each dimension...
Loop closure detection is very important in visual simultaneous and localization and mapping system (SLAM), which can reduce the accumulated drift. The most successful methods are based on Bag-of-Words model and need a large visual word dictionary. Recently, the VLAD, the state-of-the art compact descriptor, has achieved a great success in large scale image retrieval. In this paper, a novel vlad-based...
Providing appropriate tool-supported guidance to students is an essential aspect of technology-supported inquiry-based STEM education, in order to facilitate them in engaging in diverse inquiry tasks. However, analyzing educational designs and evaluating the level of tool-supported guidance provided towards reflective remedying actions is not a trivial task, especially for novice STEM teachers. In...
Blind people are able to access visual information if the information is expressed by tactile graphics; however, it is almost impossible that blind people express their ideas or opinions by visual information such as diagrams, if they do not have any help from sighted people. So, in this paper, we discuss the experiences of blind people using four user interfaces for independent editing of tactile...
A potential application of LiDAR data in street-level greenery assessment has been explored in this study. Taking full advantage of the fine-scale tree structure modeling of LiDAR data, we propose a new green view index calculation method to assess street greenery visualization. Results indicate that LiDAR data is capable of differentiating the amount of greenness being perceived from different sites...
The red palm weevil (RPW) is a dangerous invasive insect species that is causing severe damage to date palm trees around the world. This study focuses for the first time on the detection and discrimination among different stages of RPW stress-attacks using bio-physiological spectral indices and statistical analysis of satellite image data. A total of 27 different indices were assessed using new technology...
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