Multi-layer affective computing model based on emotional psychology

Zhou, Qingyuan

doi:10.1007/s10660-017-9265-8

Cited by 73 publications

(13 citation statements)

References 16 publications

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“…This cluster has the highest average publication year among the 11 major clusters (2018.56), which indicates that most articles in this cluster are fairly recent. The most cited article in this cluster is Zhou’s [ 61 ] article on multi-layer affective modeling of emotions in the online environment. This is followed by Suki’s [ 62 ] article on online consumer shopping insights, and Chen et al’s [ 63 ] article on information markets.…”

Section: Bibliographic Coupling: Thematic Clustersmentioning

confidence: 99%

20 years of Electronic Commerce Research

Kumar

Lim

Pandey

et al. 2021

Electron Commer Res

144

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2021 marks the 20th anniversary of the founding of Electronic Commerce Research ( ECR ). The journal has changed substantially over its life, reflecting the wider changes in the tools and commercial focus of electronic commerce. ECR ’s early focus was telecommunications and electronic commerce. After reorganization and new editorship in 2014, that focus expanded to embrace emerging tools, business models, and applications in electronic commerce, with an emphasis on the innovations and the vibrant growth of electronic commerce in Asia. Over this time, ECR ’s impact and volume of publications have grown rapidly, and ECR is considered one of the premier journals in its discipline. This invited research summarizes the evolution of ECR ’s research focus over its history.

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Section: Bibliographic Coupling: Thematic Clustersmentioning

confidence: 99%

20 years of Electronic Commerce Research

Kumar

Lim

Pandey

et al. 2021

Electron Commer Res

144

View full text Add to dashboard Cite

show abstract

“…The interpolation of a missing pixel could benefit from the property of the waveform of the true underlying HR image, in particular, whether the pixel is in an area with nonlocal similarity or in a region with local correlation. Since the knowledge of the waveform of the original HR image is unknown at the missing pixel location (i, j), we need to estimate the state s i, j which is hidden by the down sampling process [23][24][25]. The estimation is based on the observable low resolution features that are exhibited by s i, j .…”

Section: Methods Of Cfa Interpolation Algorithm Based On the 2d 3 × 3mentioning

confidence: 99%

Demosaicking with two-dimensional continuous 3 × 3 order hidden Markov model

Wang

2018

J Image Video Proc.

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Since most digital cameras use color filter arrays to sample red, green, and blue colors by a specific pattern, only one color sample would be taken at every pixel location. The process named demosaicking is exploited to recover the full-color image from the incomplete color samples. The paper presents a novel demosaicking method based on two-dimensional continuous 3 × 3 order HMM (2D 3 × 3 CHMM), which incorporates the statistics of high resolution images into the CFA interpolation process. The proposed new method adopts an approach of MAP sequence estimation and exploits high-order statistical dependency between missing pixels. Experiment results demonstrate that the proposed method outperforms several existing or state-of-the-art demosaicking techniques in terms of both objective and subjective evaluations.

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“…The KML code for real-time visualization of air quality using KML network link is shown below. The data in the server is read periodically, with the display refreshed at a specified time interval [18,19].…”

Section: Visualization Process Of Air Quality Datamentioning

confidence: 99%

Visualization of real-time monitoring datagraphic of urban environmental quality

Chen

2019

J Image Video Proc.

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Quality of urban environment directly affects people health, and it is important to understand the real-time status of urban air quality. Air quality monitoring, data analysis, and visualization can grasp the concentration data of air pollutants in cities. In view of the current air quality monitoring using digital displays, it is difficult for users to intuitively determine the air pollution level with unsatisfied interaction mode of the data query. Using the real-time monitoring data of 23 observation points in Beijing, the work based on Google Earth applied Keyhole Markup Language (KML) for the visualization of air monitoring data. The interactive query makes it easier for users to query air quality, and gradually varied color can visually highlight the air quality level. Visualization of data has stronger expression (more images and more intuitive) than the original data table, which is beneficial for further analysis of data.

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Multi-layer affective computing model based on emotional psychology

Cited by 73 publications

References 16 publications

20 years of Electronic Commerce Research

20 years of Electronic Commerce Research

Demosaicking with two-dimensional continuous 3 × 3 order hidden Markov model

Visualization of real-time monitoring datagraphic of urban environmental quality

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