Development of efficient algorithmic models for content based video retrieval

Abstract

To find useful information from the huge amount of raw data that is newlinetypically present in databases, data mining tasks try to develop knowledge newlinethat matches the data. A multimedia database is a group of stored, closely newlinerelated multimedia elements that must be effectively managed. In order to newlinedetermine the relationships between the various forms of data, the multimedia newlinemining method examines the various information media. newlineVideos are the most important media in multimedia data, including newlineaudio, image, graphic, and text media. The methods of collecting, recording, newlineand processing the images captured at a certain moment are all part of the newlinetechnology underpinning videography (still images). One of the most difficult newlineresearch problems is video data mining, which attempts to automatically newlineidentify recurrent video patterns from a vast video archive. newlineA framework for managing video data that extracts the necessary newlineand related video clips from a video is known as a video retrieval system. newlineContent-based search examines the actual content of the video, in contrast to newlinemetadata search, which makes use of keywords, tags, and descriptors. A video newlineis unique because of its capacity to deliver rich, semantic content. To make it newlinesimple for users to search for and retrieve visual information, it aims to newlineprovide a rapid method of indexing and storing it based on the content. Search newlineengines like Google and Yahoo now search video data using text annotation. newlineThe main problem is the incorrect textual data linking to the video. The video newlinefootage was searched for to solve these issues. newline