English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In order to generate weather information about rainfall and foggy visibility through analysis of CCTV images, the analysis on the changing patterns of time-series image data is a new approach to generating weather information from CCTV images. This paper demonstrates a method to generate optimum ROIs for extracting subtle weather image changes caused by fog and rainfall. It suggests the optimum ROI size and distance interval between ROIs through experiments. Finally, a clustering-based method for extracting weather information is proposed that has different data pattern difference between ROIs as a learning model, which is based on the suggested optimum ROI size and interval.

An Image Data Learning Method by Discriminating Multiple ROIs Data Patterns for Extracting Weather Information