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About Indjcse20 11 01 047 PDF
This document discusses automatic annotation of dance videos based on foot postures (stansas) using deep learning techniques. It proposes using a trained deep neural network model called Deep Stana Classifier to identify stansas from video frames. The identified stansas are then annotated with timestamps to generate a metadata file describing the video. The Deep Stana Classifier was trained using transfer learning on a dataset of dance images extracted from videos. Preliminary results found the Deep Stana Classifier achieved high accuracy in classifying stansas. The automatic annotation system has potential applications for digitizing and archiving cultural dance videos.
Detailed Information
| Author: | ['Shailesh Sivan'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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