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Videohash is a Python library for detecting near-duplicate videos (Perceptual Video Hashing). Any video input can be used to generate a 64-bit equivalent hash value with this package.
The video-hash-values for identical or near-duplicate videos are the same or similar, implying that if the video is resized (upscaled/downscaled), transcoded, watermark added/removed, stabilized, color changed, frame rate changed, changed aspect ratio, slightly cropped, black-bars added or removed, the hash-value should remain unchanged or not vary substantially.
Repository : https://github.com/akamhy/videohash
Features
- Generate videohash of a video directly from its URL or its path.
- Can be used to implement scalable Near Duplicate Video Retrieval.
- The end-user can access the image representation(the collage) of the video.
- A videohash instance can be compared to a 64-bit stored hash, its hex representation, bitlist, and other videohash instances.
- Faster than the old method of comparing each frame individually. The videohash package generates a single 64-bit video hash value, which saves a significant amount of database space. And the number of comparisons required drops significantly.
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