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Youtube's Timeline Heatmap (Histogram) enables/improves a lot... #1463

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@ImprovedTube

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@ImprovedTube

Youtube's Timeline Histogram

this potenially enhances all ideas about speed-watching / skipping irrelevant scenes. ( beyond what we could do skipping intros or silences )
Because views per scenes correlate with relevance (or with ignorant* viewers or confusing/deceptive structure of content)

  • 1.) Lows at the Start are indicating irrelvance (intro)
  • 2.) Similar at the end. Besides that a slight steady decline is normal / ineviteable (average to some certain degree, simply by the viewer's attention span / patience. - Or forgetting to continue later)

3.) Only playing back the spikes-up, can sometimes save most of the time!
( while getting the gist. Especially for clickbaity videos, with an extreme diagram... )

Except: this could be inverted if the video's audience's mode/mood, can be definied as slow/meditative = Exception for forced speedup:

  • Example: Linus Tech Tipps: Retro computing for 20 minutes with one fast/novel sponsor Ad from IBM...
    • so without defining this as inverted/exception this results logically/productively results in skipping most of the whole video, except for the ad. ( And this equals business advice to Linus tech tipps: a playlist (reverse chronologic with sponsors. Some / many people will watch that first or only)).

Content per second: Content difficulty( Ø-Word-length ) & content speed ( Views/WPM )

  • Also: common phrases can be considered (as irrelevant) IDEA: 1. Skip intro & outro - X & Y seconds 2. Skip common phrases #514
  • When (uncommon) text is suddenly spoken faster, viewers will commonly repeat the scene: To approach a spike's meaning it can be divided by an increased WPM ( if any ) (from transcript or audio)
  • A high/increasing word-difficulty can be a clue, that the relevance of a video-section is beyond/higher than the views can tell (word-difficulty could be measured by average word-length (and the category/language in general)

( "counter-indication:" "spikes could be inluenced by "clips" - or a popular link with a start-time offset ?t=... or end-time) - yet that's rare & also real... )


the heatmap gives 100 values, one for each percent of the video duration
these are just before the end when going ctrl+U

						"markersList": {
								"markerType": "MARKER_TYPE_HEATMAP",
								"markers": [
									{
										"startMillis": "0",
										"durationMillis": "1234",
										"intensityScoreNormalized": 0.1
									},

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BountyWill pass on donations (Optional) - (OR: Requester will pay personally. Only if stated!)Datacompare: https://github.com/LuanRT/YouTube.js & maybe github.com/MarcGuiselin/youtube-refinedFeature requestWish or ideaFiltering & Discovery (of Content)Set & forget (automatic feature)All permanent effects should be favorable by design. (Avoiding side-effects >99.8% of the time)good first issueA GitHub standard for inviting (new) contributors *Congratulations in advance!*help wantedJust an old github standard we add automatically. (The team can remove it when working on it.)up-for-grabs(a github standard for inviting new contributors) - Welcome! ♥✰Uniqueunique ~ Worth extra work (not done anywhere in any way? out of the box?)🧩Plan readySolution or some specification noted; To-Do; steps for implementation (+raw brainstorming too maybe)

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