scala-phash
videohash
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scala-phash | videohash | |
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20 | 257 | |
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0.0 | 0.0 | |
almost 4 years ago | 4 months ago | |
Scala | Python | |
MIT License | MIT License |
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scala-phash
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Tracking mentions began in Dec 2020.
videohash
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videohash / video fingerprinting Question : Detecting if a small clip is part of a longer movie
Hi all, I try to create a program to detect if a certain video scene (normally within 10 seconds) is within a longer video file. The idea is that if I find an scene on youtube, I want to know from which episodes of a particular TV show (assuming I know which tv show, but no idea which episode), so I want to find it out. Current solution: [a] - Extract Frame using ffmpeg from the reference clip (fps = 1) [b] - Extract Frame using ffmpeg from the longer video file (fps around 0.1 or 0.5) For each frame from [a] , I do a imagehash for [a] and [b] and comparing the hamming distance, get the lowest distance from this round of comparision and move on to the next frame from [a] Eventually I got an average score and I can find out if this TV episode contain the scene I was looking for. However, this is slow and not efficient. I found out that there is a videohash library https://github.com/akamhy/videohash But it said "Videohash cannot be used to verify whether one video is a part of another (video fingerprinting)." Does anybody know why? Is it because it gets a videohash for the whole video? If this is the case, how about I use the video hash lib to create a hash for my reference clip (let's say it is about 10 seconds) and then I create multiple 10-second version of the Longer video, generate a videohash just for it and compared that with my reference clip. Would that work? (Yes I understand that for a 60 minutes movie, that would be like 360 video hash to be calculated)... Do you think this is better? Thanks.
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tips on scraping for porn?
2) Sorting through all the scraped data. This is going to vary depending on your approach. If you want to remove duplicates, there is a library called videohash that will allow you to take the perceptual hash of video files. If 2 videos have the same perceptual hash, they are duplicate.
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Videohash – Perceptual Video Hashing Package
I think it creates a collage of the video frames: https://github.com/akamhy/videohash/blob/8759b6ad7fdabcdf4dd...
and passes that on to the videohash.py module to generate a hash:
- GitHub - akamhy/videohash: Python package for Perceptual Video Hashing - Get a 64-bit comparable hash-value for any video.
What are some alternatives?
scalismo - Scalable Image Analysis and Shape Modelling
neuralhash-collisions - A catalog of naturally occurring images whose Apple NeuralHash is identical.
scrimage - JVM - Java, Kotlin, Scala image processing library
imgdupes - Identifying and removing near-duplicate images using perceptual hashing.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
vidgear - A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
openshot-qt - OpenShot Video Editor is an award-winning free and open-source video editor for Linux, Mac, and Windows, and is dedicated to delivering high quality video editing and animation solutions to the world.
scala - Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
emdrive - 💫 Fast similarity search DBMS
motion-tracking-video-crop - Crop motion tracked video with added smoothing movement
video-simili-duplicate-cleaner