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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We present a novel form of interactive video object segmentation where a fewclicks by the user helps the system produce a full spatio-temporal segmentationof the object of interest. Whereas conventional interactive pipelines take theuser's initialization as a starting point, we show the value in the systemtaking the lead even in initialization. In particular, for a given video frame,the system precomputes a ranked list of thousands of possible segmentationhypotheses (also referred to as object region proposals) using image and motioncues. Then, the user looks at the top ranked proposals, and clicks on theobject boundary to carve away erroneous ones. This process iterates (typically2-3 times), and each time the system revises the top ranked proposal set, untilthe user is satisfied with a resulting segmentation mask. Finally, the mask ispropagated across the video to produce a spatio-temporal object tube. On threechallenging datasets, we provide extensive comparisons with both existing workand simpler alternative methods. In all, the proposed Click Carving approachstrikes an excellent balance of accuracy and human effort. It outperforms allsimilarly fast methods, and is competitive or better than those requiring 2 to12 times the effort.

Click Carving: Segmenting Objects in Video with Point Clicks