Your English writing platform
Discover LudwigExact(60)
Video object segmentation remains a challenging topic in video processing.
Many approaches have been proposed for video object segmentation.
(2) As the distance between video object and viewer/camera increases, interesting ratio of the video object decreases.
Accurately tracking the video object in video sequence is a crucial stage for video object processing which has wide applications in different fields.
This paper proposes a novel hierarchical mesh-based video object model and a motion estimation architecture that generates a content-based video object representation.
It is observed that the main focus of the current research on intelligent video surveillance mainly lies on video object detection/tracking, and video object activity analysis/recognition.
However, real-time video object detection in large format high fidelity video is computationally daunting.
Video object segmentation is a key step in defining the contents of any video sequences.
MPEG-4 introduces the concept of video object to support content-based functionalities.
An interactive authoring system is proposed for semi-automatic video object (VO) segmentation and annotation.
These layers correspond to the video object planes used in the MPEG verification model.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com