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.

Project Activity

See All Activity >

Follow videohash

videohash Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of videohash!

Additional Project Details

Registered

2021-10-25