Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

The extensive video surveillance networks gather an enormous amount of data
exponentially on a daily basis and its management is a challenging task, requiring efficient …

The rapid growth of tag-free user-generated videos (on the Internet), surgical recorded
videos, and surveillance videos has necessitated the need for effective content-based video …

Nowadays capturing video through mobile phones, digital cameras and uploading it in
social media is a trend. These videos do not have semantic tags. Searching these kinds of …

Due to rapid technological advancements, the growth of videos uploaded to the internet has
increased exponentially. Most of these videos are free of semantic tags, which makes …

Content-based video retrieval (CBVR) is the most energetic and stimulating research area
since the early twentieth century in the domain of multimedia technology and immense …

The majority of videos in the internet lack semantic tags, which complicates indexing and
retrieval, and mandates the adoption of critical content-based analysis approaches. Earlier …

Abstract Content Based Video Retrieval (CBVR) is an approach for retrieving most relevant
videos from the video database. Applications of CBVR are increasing day by day. This paper …

Videos are a powerful and communicative media that can capture and present information.
In recent times, large video databases are created because of the advancements in many …

In the context of investigations, understanding relationships between videos, such as
determining when fields of view are overlapping, can be useful to efficiently navigate …