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Video Scene Location Recognition Using AI: Methodology

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Manage episode 425923802 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/video-scene-location-recognition-using-ai-methodology.
This study explores scene recognition in TV series using neural networks, tested on The Big Bang Theory, with various layers like LSTM and pooling methods.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #neural-networks, #scene-recognition, #tv-series-analysis, #convolutional-networks, #lstm-layers, #video-classification, #machine-learning, #big-bang-theory-dataset, and more.
This story was written by: @rendering. Learn more about this writer by checking @rendering's about page, and for more stories, please visit hackernoon.com.
The input consists of video files and a text file. The video files are divided into independent episodes. The textfile is contains manually created metainformation about every scene. The scene is understand as sequence of frames, that are not interrupted by another frame with different scene location label.

  continue reading

316 episodes

Artwork
iconShare
 
Manage episode 425923802 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/video-scene-location-recognition-using-ai-methodology.
This study explores scene recognition in TV series using neural networks, tested on The Big Bang Theory, with various layers like LSTM and pooling methods.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #neural-networks, #scene-recognition, #tv-series-analysis, #convolutional-networks, #lstm-layers, #video-classification, #machine-learning, #big-bang-theory-dataset, and more.
This story was written by: @rendering. Learn more about this writer by checking @rendering's about page, and for more stories, please visit hackernoon.com.
The input consists of video files and a text file. The video files are divided into independent episodes. The textfile is contains manually created metainformation about every scene. The scene is understand as sequence of frames, that are not interrupted by another frame with different scene location label.

  continue reading

316 episodes

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