2022
DOI: 10.48550/arxiv.2203.13459
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Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification

Abstract: Automating video-based data and machine learning pipelines poses several challenges including metadata generation for efficient storage and retrieval and isolation of key-frames for scene understanding tasks. In this work, we present two semi-supervised approaches that automate this process of manual frame sifting in video streams by automatically classifying scenes for content and filtering frames for fine-tuning scene understanding tasks. The first rule-based method starts from a pre-trained object detector … Show more

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