中国科学院机构知识库网格系统: 检索

Measurements of Complexity in Vehicle Dashboards: Revision and Validation of the Perceived Visual Complexity Scale 会议论文 OAI收割
不详, 不详, 2023
作者: Ye, Chuyang; Liu, Zhizi; Dong, Sihan; Shao, Xueying; Chen, Hongyu

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收藏 | 浏览/下载：12/0 | 提交时间：2023/10/17

Perceived visual complexity Vehicle dashboards Graphic user interface Reliability Subjective rating

Objective Metrics for Assessing Visual Complexity of Vehicle Dashboards: A Machine-Learning Based Study 期刊论文 OAI收割
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 卷号: 14049, 页码: 103-113
作者: Huizhi Bai; Zhizi Liu; Ziqi Fu,; Zihao Liu; Huihui Zhang

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收藏 | 浏览/下载：18/0 | 提交时间：2023/09/25

Perceived visual complexity Vehicle dashboard Machine learning models Human-vehicle interface design

Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 卷号: 16, 期号: 3, 页码: 19
作者: Chen, Yixian; Jiao, Juying; Wei, Yanhong; Zhao, Hengkang; Yu, Weijie

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收藏 | 浏览/下载：70/0 | 提交时间：2019/05/22

valley bank gully Pleiades imagery visual interpretation accuracy assessing standard gully detection limit gully dimensions vegetation cover gully shape complexity broken topography

How character complexity modulates eye movement control in Chinese reading 期刊论文 OAI收割
READING AND WRITING, 2015, 卷号: 28, 期号: 6, 页码: 747-761
作者: Ma, Guojie

收藏 | 浏览/下载：31/0 | 提交时间：2015/09/08

Visual complexity Stroke number Saccade target selection Chinese reading

Measuring the Visual Complexities of Web Pages 期刊论文 OAI收割
ACM TRANSACTIONS ON THE WEB, 2013, 卷号: 7, 期号: 1
作者: Wu, Ou; Hu, Weiming; Shi, Lei; Ou Wu

收藏 | 浏览/下载：26/0 | 提交时间：2015/08/12

Algorithms Performance Visual complexity (VisCom) quantification Web mining feature learning

The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.; Yao-Yu Z.

收藏 | 浏览/下载：66/0 | 提交时间：2013/03/25

Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast powerful computer disposal function little radiation dosage non-film diagnosis different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc. can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details aiming at the defects an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications Switzerland.

网页表观的视觉感知与学习 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者: 吴偶

收藏 | 浏览/下载：57/0 | 提交时间：2015/09/02

视觉感知网页表观评价视觉质量视觉复杂度结构化学习排序学习 Web appearance evaluation Visual quality Visual complexity Model learning Structured learning Probabilistic ranking model Learning to rank

A hybrid median filter for enhancing dim small point targets and its fast implementation (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Multimedia and Signal Processing, CMSP 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yang Q.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

Weak stars and middle altitude orbit satellites or high altitude orbit satellites are presented as dim point targets in images of astronomical observation. They have low intensity and occupy few pixels in image. In most situations the background of sky is always ununiform and there exists pulse noises. Thus results in targets submerging in background noises and low signal noise ratio (SNR). Median filter is an effective method for removing pulse noise. But it can blur image after modifying gray of non-noise pixels when image has low SNR. A hybrid median filter algorithm is proposed to process low SNR dim point targets image. The newly proposed method can suppress the pulse noises also can increase target $SNR$ and does not add extra fake targets. The time complexity of median filter is O(N2)(N is the widow size) and is difficult to implement in hardware. For quasi real time application a fast implementation of our hybrid median filter is proposed to reduce the time complexity to O(N). Experimental results show that the newly proposed algorithm is superior to ordinary median filter and fast median filter by comparing visual effect and performance. 2011 IEEE.

The influence of expertise and of physical complexity on visual short-term memory consolidation 期刊论文 OAI收割
QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2011, 卷号: 64, 期号: 4, 页码: 707-729
作者: Sun, Huiming; Zimmer, Hubert D.; Fu, Xiaolan; Fu XL(傅小兰)

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收藏 | 浏览/下载：13/0 | 提交时间：2011/11/11

Consolidation Visual short-term memory Expertise Physical complexity Perceived complexity

Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.