A New Method for Hierarchical Image Segmentation from Visual Designs

Pavel Myznikov, Yan Huang

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

Hierarchical image segmentation recognizes and organizes image elements into a tree structure. The tree structure represents the semantic information of the image. It is one of the most fundamental computer vision problems. This paper focuses on the images that come from visual design such as graphic interfaces, posters, and presentations. Extracting hierarchical structure from such images allows quantitative analysis of visual design choices and reproducing designs from hand drawings or hard copies. We propose a more accurate method that incorporates the common design principles of visual designs. We compare our algorithm with seven existing approaches on the most popular websites screenshots ranked by Alexa. Our method outperforms the state-of-the-art methods in tree edit distance and F-score, and is comparable or better in the bottom-up distance.

Язык оригиналаанглийский
Название основной публикации2020 54th Annual Conference on Information Sciences and Systems, CISS 2020
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728140841
DOI
СостояниеОпубликовано - мар 2020
Событие54th Annual Conference on Information Sciences and Systems, CISS 2020 - Princeton, Соединенные Штаты Америки
Продолжительность: 18 мар 202020 мар 2020

Серия публикаций

Название2020 54th Annual Conference on Information Sciences and Systems, CISS 2020

Конференция

Конференция54th Annual Conference on Information Sciences and Systems, CISS 2020
СтранаСоединенные Штаты Америки
ГородPrinceton
Период18.03.202020.03.2020

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    Myznikov, P., & Huang, Y. (2020). A New Method for Hierarchical Image Segmentation from Visual Designs. В 2020 54th Annual Conference on Information Sciences and Systems, CISS 2020 [9086192] (2020 54th Annual Conference on Information Sciences and Systems, CISS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS48834.2020.1570616816