Key area recognition of Hani Rice Terrace visual landscape based on the Sensitivity-Subjective Preference matrix

2018 ◽  
Vol 38 (10) ◽  
Author(s):  
章侃丰 ZHANG Kanfeng ◽  
角媛梅 JIAO Yuanmei ◽  
刘歆 LIU Xin ◽  
刘志林 LIU Zhilin ◽  
刘澄静 LIU Chengjing ◽  
...  
Keyword(s):  
Subjective Preference ◽  
Visual Landscape ◽  
Preference Matrix

Semi-supervised Multi-task Network For Image Aesthetic Assessment

2020 ◽  
Vol 2020 (8) ◽  
pp. 188-1-188-7
Author(s):  
Xiaoyu Xiang ◽  
Yang Cheng ◽  
Jianhang Chen ◽  
Qian Lin ◽  
Jan Allebach
Keyword(s):  
Neural Network ◽  
Semantic Content ◽  
Training Data ◽  
Score Distribution ◽  
Generalization Ability ◽  
Subjective Preference ◽  
Ranking Tasks

Image aesthetic assessment has always been regarded as a challenging task because of the variability of subjective preference. Besides, the assessment of a photo is also related to its style, semantic content, etc. Conventionally, the estimations of aesthetic score and style for an image are treated as separate problems. In this paper, we explore the inter-relatedness between the aesthetics and image style, and design a neural network that can jointly categorize image by styles and give an aesthetic score distribution. To this end, we propose a multi-task network (MTNet) with an aesthetic column serving as a score predictor and a style column serving as a style classifier. The angular-softmax loss is applied in training primary style classifiers to maximize the margin among classes in single-label training data; the semi-supervised method is applied to improve the network’s generalization ability iteratively. We combine the regression loss and classification loss in training aesthetic score. Experiments on the AVA dataset show the superiority of our network in both image attributes classification and aesthetic ranking tasks.

scholarly journals Elderly Suitability of Park Recreational Space Layout Based on Visual Landscape Evaluation

2021 ◽  
Vol 13 (11) ◽  
pp. 6443
Author(s):  
Weiyi Yu ◽  
Hong Hu ◽  
Bindong Sun
Keyword(s):  
Sustainable Development ◽  
Reference Method ◽  
The Elderly ◽  
Urban Society ◽  
Individual Characteristics ◽  
Sustainable Urban Development ◽  
Practical Significance ◽  
Jiangxi Province ◽  
The Sustainable Development ◽  
Visual Landscape

Urban parks are critical for sustainable urban development. They are of theoretical and practical significance for analyzing the visual landscape of recreational spaces from the perspective of the elderly. This analysis can be used for exploring new methods for optimizing recreational space layouts to improve the physical and mental health of the elderly in parks, thus realizing the sustainable development of urban society. Taking Ziyang Park in Shangrao Central District of Jiangxi Province, China, as an example, starting from the visual characteristics of the elderly, this study quantitatively calculated the landscape viewability, total view ratio, and water view ratio for the elderly in each recreational space using Python Scripting for ArcGIS. We briefly express the elderly suitability of the visual landscape for each recreational space through a weighted synthesis of the calculation results. Our findings show that, in Ziyang Park, the elderly suitability of the visual landscape for recreational spaces is not only low overall, but also gradually decreases from the interior to the exterior of this park. Moreover, this spatial distribution may be caused by the location of zoning, surface elevation, and road slopes, as well as the individual characteristics of each recreational space. Finally, we discuss the requirements of the elderly for some geographical factors, along with the feasibility of using ArcGIS 3-D analysis to optimize the layout of the park recreational space, with the aim of providing a new research perspective and an effective reference method for designing layouts of such spaces that are favorable for the elderly to better guarantee the sustainable development of urban society.

scholarly journals Does rated visual landscape quality match visual features? An analysis for renewable energy landscapes

2021 ◽  
Vol 209 ◽  
pp. 104000
Author(s):  
Reto Spielhofer ◽  
Marcel Hunziker ◽  
Felix Kienast ◽  
Ulrike Wissen Hayek ◽  
Adrienne Grêt-Regamey
Keyword(s):  
Renewable Energy ◽  
Visual Features ◽  
Energy Landscapes ◽  
Visual Landscape ◽  
Landscape Quality

The Effective Use of Color for Text on the IBM 5153 Color Display

1987 ◽  
Vol 31 (10) ◽  
pp. 1091-1095 ◽  
Author(s):  
Mary J. Lalomia ◽  
Alan J. Happ
Keyword(s):  
Response Time ◽  
Human Perception ◽  
Subjective Rating ◽  
Background Color ◽  
Joint Function ◽  
Application Program ◽  
Color Display ◽  
Subjective Preference ◽  
Color Combinations ◽  
Effective Use

The goal of this research was to provide a set of criteria for the effective use of color on the IBM 5153 Color Display. Available guidelines provide direction but not the detail required for application programmers. This study examined character legibility and subjective preference for color combinations in text in an application program. The effectiveness of color combinations was defined as a joint function of response time and subjective rating. The graphs of foreground/background color relationships show the observers' performance as a function of their preference. The results indicated the flexibility of black or blue backgrounds. The findings are discussed with respect to principles of human perception.

ADJUSTING ORDINAL AND CARDINAL INCONSISTENCIES IN DECISION PREFERENCES BASED ON GOWER PLOTS

2006 ◽  
Vol 23 (03) ◽  
pp. 329-346 ◽  
Author(s):  
HAN-LIN LI ◽  
LI-CHING MA
Keyword(s):  
Decision Maker ◽  
Multi Objective ◽  
Pairwise Preference ◽  
Graphical Tool ◽  
Ordinal Consistency ◽  
Preference Matrix ◽  
Objective Program

Gower plots provide a powerful graphical tool to detect cardinal and ordinal inconsistencies in a pairwise preference matrix. However, there is no systematical way to help a decision maker to reduce these inconsistencies. This paper develops a model that can assist in making a consistent decision. Gower plots are used to detect major inconsistencies. A multi-objective program is then formulated to adjust both the cardinal inconsistencies and the preference changes subjected to the constraints of ordinal consistency.

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