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Content based Video Retrieval from Gujarati News Video A Thesis submitted to Gujarat Technological University for the Award of Doctor of Philosophy computer / IT Engineering inamorata Ashoka Dave 159997107019 under
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How to fill out content based video retrieval

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Identify the relevant content that you want to retrieve videos for.
02
Create a dataset of videos that contain the specific content you are looking for.
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Extract features from the videos using techniques such as deep learning or machine learning.
04
Use a similarity measure to compare the features of the query content with the features of the videos in the dataset.
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Rank the videos based on their similarity to the query content.
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Present the top ranked videos as the results of the content based video retrieval.

Who needs content based video retrieval?

01
Researchers in the field of multimedia who need to analyze video content.
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Content creators who want to find videos related to specific topics for inspiration or reference.
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Businesses looking to implement video recommendation systems for their users.
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Marketers wanting to target specific audiences with videos based on their interests.
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Content based video retrieval is the process of searching and retrieving video content based on its visual features, audio features, or metadata.
Content creators, broadcasters, or streaming platforms may be required to file content based video retrieval for regulatory purposes.
Content based video retrieval forms can typically be filled out online or submitted physically, depending on the regulatory body overseeing the process.
The purpose of content based video retrieval is to ensure that video content is properly categorized, tagged, and made easily searchable for users.
Information such as video title, description, keywords, duration, category, and any relevant metadata may need to be reported on content based video retrieval.
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