VINS: Visual Search for Mobile User Interface Design

要旨

Searching for relative mobile user interface (UI) design examples can aid interface designers in gaining inspiration and comparing design alternatives. However, finding such design examples is challenging, especially as current search systems rely on only text-based queries and do not consider the UI structure and content into account. This paper introduces VINS, a visual search framework, that takes as input a UI image (wireframe, high-fidelity) and retrieves visually similar design examples. We first survey interface designers to better understand their example finding process. We then develop a large-scale UI dataset that provides an accurate specification of the interface's view hierarchy (i.e., all the UI components and their specific location). By utilizing this dataset, we propose an object-detection based image retrieval framework that models the UI context and hierarchical structure. The framework achieves a mean Average Precision of 76.39\% for the UI detection and high performance in querying similar UI designs.

著者
Sara Bunian
Northeastern University, Boston, Massachusetts, United States
Kai Li
Northeastern University, Boston, Massachusetts, United States
Chaima Jemmali
Northeastern University, Boston, Massachusetts, United States
Casper Harteveld
Northeastern University, Boston, Massachusetts, United States
Yun Fu
Northeastern University, Boston, Massachusetts, United States
Magy Seif El-Nasr
University of California at Santa Cruz, Santa Clara, California, United States
DOI

10.1145/3411764.3445762

論文URL

https://doi.org/10.1145/3411764.3445762

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Design Tools / Machine Learning / Fabrication / Visual Artifacts in Design and Ideation

[A] Paper Room 04, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 04, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 04, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 04
12 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00
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