TransNet V2: Shot Boundary Detection Neural Network
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- Python
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TransNet V2: Shot Boundary Detection Neural Network
Automagically generate thumbnails, animated GIFs, and summaries from videos
TransNet: A deep network for fast detection of common shot transitions
Open source software that detects shot boundaries in video.
Video shot transition detection
Worked towards using the encoder-decoder network along with long short term memory (LSTM) network in order to develop the framework for solving the video matting problem.
A shot is a continious sequence of frames filmed in one go. The regions of discrepency between two shots is called the shot boundary. Various discriminatory features like the frame variance, mean, L2-norm etc are taken (as a means of representing video frame data) and then various classifiers are used to compare their performances in detecting t…
Video shot detection is a computer vision technique used to automatically identify the boundaries between shots in a video sequence.
This project explores various similarity-learning loss formulations for solving tasks like fine-grained video/image retrieval or ranking, fine-grained video recognition.
VideoBricks is a minimal video editor packed with features. Detail Scrubbing, AI shot boundary detection, Cropping, Trimming, Multi-Track outputs. Outputs in high quality GIF (using pngquant for the best palettes) and MP4
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