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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Social event detection in a static image is a very challenging problem andit's very useful for internet of things applications including automatic photoorganization, ads recommender system, or image captioning. Several publicationsshow that variety of objects, scene, and people can be very ambiguous for thesystem to decide the event that occurs in the image. We proposed the spatialpyramid configuration of convolutional neural network (CNN) classifier forsocial event detection in a static image. By applying the spatial pyramidconfiguration to the CNN classifier, the detail that occurs in the image canobserve more accurately by the classifier. USED dataset provided by Ahmad etal. is used to evaluate our proposed method, which consists of two differentimage sets, EiMM, and SED dataset. As a result, the average accuracy of oursystem outperforms the baseline method by 15% and 2% respectively.

Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image