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RameshAditya / scoper, Hacker News

RameshAditya / scoper, Hacker News


                    

        

Fuzzy and Semantic Caption-Based Searching for YouTube Videos

https://github.com/RameshAditya/scoper/blob/master/github-resources/demo_fuzzy.gif


Contents


What Scoper is

Scoper is a python script that takes a youtube URL and a user query string as inputs, and returns the timestamps in the video where the content of the caption closely matches the user’s query string.

For example, in the video –https://www.youtube.com/watch?v=bfHEnw6Rm-4– which is Apple’s October 2018 event, if you were to queryPhotoshop for ipad, you’d see the following output –

photoshop on ipad. 1h 6m 29 s for. 54 M 16 s ipad. 50 M 37 s photoshop. 1h 14 m 8s this is a historic center for 3m 48 s would love to play it for you 4m 50 s pro users but designed for all 7m 52 s exactly what you're looking for, 8m 0s go and use for everything they 8m 52 s product line for years to come, 9m 29 s

How Scoper works

Scoper works in two ways.

  • Extract captions and timestamps from the YouTube URL
  • Preprocess the user query and train a Word2Vec model
  • Query over the captions and find the best match. This is done in two ways, as decided by the user –
    • Fuzzy searching

      • Scoper enables you to query over the video’s captions by using fuzzy matching algorithms.
      • This means it searches for the most relevant captions in terms of spelling and finds the nearest match.
      • Done by using variants of Levenshtein’s distance algorithms.
      • Supports multiple languages.
    • Semantic searching

      • Scoper also enables you to query over the video’s captions using semantic sentence similarity algorithms.
      • The performance of semantic searching is highly dependent on the dataset on which the Word2Vec model used is trained on.
      • By default, the Brown’s corpus is used to train the Word2Vec model, and additionally a modified word-mover’s distance algorithm is used to evaluate sentence-sentence similarity.
      • For non-english language querying, the user will have to provide their own dataset.
  • Map back the chosen captions to the original timestamps and return them

How to use Scoper

Shell usage

Web GUI usage

python app.py

CLI usage

>python -W ignore scoper.py --video https://www.youtube.com/watch?v=bfHEnw6Rm-4 --mode FUZZY --limit 10 --Language en Enter query string: prjct airo  air. 9m 0s project aero, our new augmented 1h 6m 7s well, with project aero, now you 1h 9m 54 s we also showed you project aero, 1h  (M)  s pro.  (M)  s ipad pro and it protects both 57 M 15 s tap. 59 M 52 s so now with photoshop, project 1h  (M)  s products, every ipad pro is made 1h  (M)  s previous air.  (m)  s >python -W ignore scoper.py --video https://www.youtube.com/watch?v=bfHEnw6Rm-4 --mode SEMANTIC --limit 10 - -language en Enter query string: i can't wait to introduce you  i am thrilled to be able to tell  (m)  s you're going to be amazed by 1h  (m)  s powered by the all-new a  (x) *********************************************************************************** (m)  s but since this is an x ​​chip, it 51 M 51 s in fact, this new a 12 x has more 51 M 55 s i can't wait for you to get your  (m)  s just like in the xr, we call it  (m)  s The A 12 x bionic has an all-new 53 m 1s a few days ago and they're live  (m)  s and all of the new features of 21 M 47 s

  • Improve the sentence similarity algorithm
  • Include out-of-the-box support for use of pretrained word embeddings
  • Include support for general audio searching using SpeechRecognition APIs to generate a corpus from non-captioned audios

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