This paper introduces a transformer encoding linker network (TELNet) for automatically
identifying scene boundaries in videos without prior knowledge of their structure. Videos …

Due to the unlimited growth of video‐capturing devices and media, searching and finding a
particular video in this huge database becomes a laborious as well as expensive task …

Video scene detection is the task of dividing videos into temporal semantic chapters. This is
an important preliminary step before attempting to analyze heterogeneous video content …

The tasks of scene detection and annotation have gained impressive attention for
understanding video content. The main challenges lie in mitigating the error propagation of …

Abstraction is a strategy that gives the essential points of a document in a short period of
time. The video abstraction approach proposed in this research is based on multi-modal …

Shot boundary detection is the process of segmenting a video into basic units known as
shots by discovering transition frames between shots. Researches have been conducted to …

The most popular source of data on the Internet is video which has a lot of information.
Automating the administration, indexing, and retrieval of movies is the goal of video structure …

Due to the unlimited growth of video-capturing devices and media, searching and finding a
particular video in this huge database becomes a laborious as well as expensive task …

Abstract Neural Style Transfer is a class of neural algorithms designed to redraw a given
image in the style of another image, traditionally a famous painting, while preserving the …

A video scene detection machine learning model is provided. A computer device receives
feature vectors corresponding to audio and video components of a video. The computing …