Recent increase in the use of video-based applications has revealed the need for extracting
the content in videos. Raw data and low-level features alone are not sufficient to fulfill the …

The psychovisual analysis and drilling in detail for extracting the content is key for
understanding objects & activities in video. The goal to retrieve some desired content from …

Recent increase in the use of video in many applications has revealed the need for
extracting the content in videos. Raw data and low-level features alone are not sufficient to …

Content-based video search engines (CBVSE) are broadly needed in many mainstream
video search engines retrieving videos from public video streaming services over the …

The tasks of recognizing events and following instructions are ubiquitous in everyday life.
This paper focuses on developing an ontology-based approach to understand the semantics …

Motivated by the needs of semantic search and retrieval of multimedia contents, operating
directly on the video based annotations can be thought as a reasonable way for meeting …

This paper discusses and provides a solution for the problem of adopting ontologies in order
to model the users and the multimedia documents and to develop personalized search …

The chapter goal is to provide responses to the following question: how the ontologies could
be used in order to index and manage the multimedia collections? Alongside with reviewing …

Video based applications disclosed need for efficiently extracting and modeling the video
contents. The video features can be classified into normal data, relative features and logic …

Video is a common multimedia format used commonly by mankind. Extraction of useful
information from a video content is needful thing to be invented. Raw data and low level …