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Index Point Detection for Text Summarization using Cosine Similarity in Educational Videos

Rekha Sharma, Mehul Mahrishi, Sudha Morwal, Girish Sharma

2021IOP Conference Series Materials Science and Engineering11 citationsDOIOpen Access PDF

Abstract

Abstract Explosive growth in digital content creates a trend of video-based learning and knowledge sharing. Several educational videos are shared by various trainers/bloggers/ instructors daily. It is now evident that even during emergencies like the recent ongoing CoVid-19 outbreak, video lectures are the saviors when the whole world comes to rest. This rapid and expansive growth has encouraged the researchers to efficiently and automatically index, browse, and retrieve video data. This research aims to process videos and precisely identify the index points which are discussed within the video. Experimental results show a good performance of the topic detection model in finding keywords and reducing dimensionality.

Topics & Concepts

Automatic summarizationComputer scienceIndex (typography)Cosine similaritySimilarity (geometry)ExpansivePoint (geometry)Curse of dimensionalityMultimediaSearch engine indexingInformation retrievalProcess (computing)Artificial intelligenceWorld Wide WebPattern recognition (psychology)Image (mathematics)MathematicsCompressive strengthGeometryOperating systemComposite materialMaterials scienceVideo Analysis and SummarizationImage Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques
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