The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform

David J Crandall - One of the best experts on this subject based on the ideXlab platform.

  • understanding the aesthetic evolution of websites towards a notion of design periods
    Human Factors in Computing Systems, 2017
    Co-Authors: Wen Chen, David J Crandall
    Abstract:

    In art and music, time periods like "classical" and "impressionist" are powerful means for academics and practitioners to compare and contrast Artifacts that share aesthetics or philosophies. While web designs have undergone changes for 25 years, we lack theories to describe or explain these changes. In this paper, we take a first step towards identifying and understanding the design periods of websites. Drawing from humanistic HCI methods, we asked subject experts of web design to critically analyze a dataset of prominent websites whose lifetimes span over a decade. These informed judgments reveal a set of key markers that signal shifts in design periods. For instance, advances in display technologies and changes in company strategies help explain how design periods demarcated by particular layout templates and navigation models arise. We suggest that designers and marketers can draw inspiration from website designs curated into design periods. Future work should examine the utility of applying design periods to any computationally Embedded Artifact that is an interaction design.

  • CHI - Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods
    Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
    Co-Authors: Wen Chen, David J Crandall
    Abstract:

    In art and music, time periods like "classical" and "impressionist" are powerful means for academics and practitioners to compare and contrast Artifacts that share aesthetics or philosophies. While web designs have undergone changes for 25 years, we lack theories to describe or explain these changes. In this paper, we take a first step towards identifying and understanding the design periods of websites. Drawing from humanistic HCI methods, we asked subject experts of web design to critically analyze a dataset of prominent websites whose lifetimes span over a decade. These informed judgments reveal a set of key markers that signal shifts in design periods. For instance, advances in display technologies and changes in company strategies help explain how design periods demarcated by particular layout templates and navigation models arise. We suggest that designers and marketers can draw inspiration from website designs curated into design periods. Future work should examine the utility of applying design periods to any computationally Embedded Artifact that is an interaction design.

Wen Chen - One of the best experts on this subject based on the ideXlab platform.

  • understanding the aesthetic evolution of websites towards a notion of design periods
    Human Factors in Computing Systems, 2017
    Co-Authors: Wen Chen, David J Crandall
    Abstract:

    In art and music, time periods like "classical" and "impressionist" are powerful means for academics and practitioners to compare and contrast Artifacts that share aesthetics or philosophies. While web designs have undergone changes for 25 years, we lack theories to describe or explain these changes. In this paper, we take a first step towards identifying and understanding the design periods of websites. Drawing from humanistic HCI methods, we asked subject experts of web design to critically analyze a dataset of prominent websites whose lifetimes span over a decade. These informed judgments reveal a set of key markers that signal shifts in design periods. For instance, advances in display technologies and changes in company strategies help explain how design periods demarcated by particular layout templates and navigation models arise. We suggest that designers and marketers can draw inspiration from website designs curated into design periods. Future work should examine the utility of applying design periods to any computationally Embedded Artifact that is an interaction design.

  • CHI - Understanding the Aesthetic Evolution of Websites: Towards a Notion of Design Periods
    Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
    Co-Authors: Wen Chen, David J Crandall
    Abstract:

    In art and music, time periods like "classical" and "impressionist" are powerful means for academics and practitioners to compare and contrast Artifacts that share aesthetics or philosophies. While web designs have undergone changes for 25 years, we lack theories to describe or explain these changes. In this paper, we take a first step towards identifying and understanding the design periods of websites. Drawing from humanistic HCI methods, we asked subject experts of web design to critically analyze a dataset of prominent websites whose lifetimes span over a decade. These informed judgments reveal a set of key markers that signal shifts in design periods. For instance, advances in display technologies and changes in company strategies help explain how design periods demarcated by particular layout templates and navigation models arise. We suggest that designers and marketers can draw inspiration from website designs curated into design periods. Future work should examine the utility of applying design periods to any computationally Embedded Artifact that is an interaction design.

Shen-chuan Tai - One of the best experts on this subject based on the ideXlab platform.

  • Effective soft-decision demosaicking using directional filtering and Embedded Artifact refinement
    Optical Engineering, 2009
    Co-Authors: Wen Tsung Huang, Wen-jan Chen, Shen-chuan Tai
    Abstract:

    Demosaicking is an interpolation process that transforms a color filter array (CFA) image into a full-color image in a single-sensor imaging pipeline. In all demosaicking techniques, the interpolation of the green components plays a central role in dictating the visual quality of reconstructed images because green light is of maximum sensitivity in the human visual system. Guided by this point, we propose a new soft-decision demosaicking algorithm using directional filtering and Embedded Artifact refinement. The novelty of this approach is twofold. First, we lift the constraint of the Bayer CFA that results in the absence of diagonal neighboring green color values for directionally recovering diagonal edges. The developed directional interpolation method is fairly robust in dealing with the four edge features, namely, vertical, horizontal, 45-deg diagonal, and 135-deg diagonal. In addition, the proposed Embedded refinement scheme provides an efficient way for soft-decision-based algorithms to achieve improved results with fewer computations. We have compared this new approach to six state-of-the-art methods, and it can outstandingly preserve more edge details and handle fine textures well, without requiring a high computational cost.

Wen Tsung Huang - One of the best experts on this subject based on the ideXlab platform.

  • Effective soft-decision demosaicking using directional filtering and Embedded Artifact refinement
    Optical Engineering, 2009
    Co-Authors: Wen Tsung Huang, Wen-jan Chen, Shen-chuan Tai
    Abstract:

    Demosaicking is an interpolation process that transforms a color filter array (CFA) image into a full-color image in a single-sensor imaging pipeline. In all demosaicking techniques, the interpolation of the green components plays a central role in dictating the visual quality of reconstructed images because green light is of maximum sensitivity in the human visual system. Guided by this point, we propose a new soft-decision demosaicking algorithm using directional filtering and Embedded Artifact refinement. The novelty of this approach is twofold. First, we lift the constraint of the Bayer CFA that results in the absence of diagonal neighboring green color values for directionally recovering diagonal edges. The developed directional interpolation method is fairly robust in dealing with the four edge features, namely, vertical, horizontal, 45-deg diagonal, and 135-deg diagonal. In addition, the proposed Embedded refinement scheme provides an efficient way for soft-decision-based algorithms to achieve improved results with fewer computations. We have compared this new approach to six state-of-the-art methods, and it can outstandingly preserve more edge details and handle fine textures well, without requiring a high computational cost.

Wen-jan Chen - One of the best experts on this subject based on the ideXlab platform.

  • Effective soft-decision demosaicking using directional filtering and Embedded Artifact refinement
    Optical Engineering, 2009
    Co-Authors: Wen Tsung Huang, Wen-jan Chen, Shen-chuan Tai
    Abstract:

    Demosaicking is an interpolation process that transforms a color filter array (CFA) image into a full-color image in a single-sensor imaging pipeline. In all demosaicking techniques, the interpolation of the green components plays a central role in dictating the visual quality of reconstructed images because green light is of maximum sensitivity in the human visual system. Guided by this point, we propose a new soft-decision demosaicking algorithm using directional filtering and Embedded Artifact refinement. The novelty of this approach is twofold. First, we lift the constraint of the Bayer CFA that results in the absence of diagonal neighboring green color values for directionally recovering diagonal edges. The developed directional interpolation method is fairly robust in dealing with the four edge features, namely, vertical, horizontal, 45-deg diagonal, and 135-deg diagonal. In addition, the proposed Embedded refinement scheme provides an efficient way for soft-decision-based algorithms to achieve improved results with fewer computations. We have compared this new approach to six state-of-the-art methods, and it can outstandingly preserve more edge details and handle fine textures well, without requiring a high computational cost.