Reducing the number of clicks to contribute is important, and if you're not watching a show that has timestamps yet, it would be nice if the extension could just find and skip the intro for you.
One place we could potentially find the intro location would be the text tracks/subtitles - When there's over 90s of silence, the intro could be hidden there. To increase accuracy, we'll have to use other context clues to narrow that prediction down to be accurate (Previous intro duration, 3rd party services, looking for the show title to mark the end, etc).
For now though, lets just add a setting titled Experimental: Predict Intro Timestamps. When toggled, show possible time ranges that the intro somehow, whatever is easiest (notification, text overlay, etc).
Once we've confirmed the potential for finding intros and we have an idea of its accuracy and how many false positives this results in, we can move onto improving the accuracy. If it doesn't seem promising, we'll scrap it.
Experimental: Predict Intro Timestamps setting
- Display potential time ranges
Reducing the number of clicks to contribute is important, and if you're not watching a show that has timestamps yet, it would be nice if the extension could just find and skip the intro for you.
One place we could potentially find the intro location would be the text tracks/subtitles - When there's over 90s of silence, the intro could be hidden there. To increase accuracy, we'll have to use other context clues to narrow that prediction down to be accurate (Previous intro duration, 3rd party services, looking for the show title to mark the end, etc).
For now though, lets just add a setting titled
Experimental: Predict Intro Timestamps. When toggled, show possible time ranges that the intro somehow, whatever is easiest (notification, text overlay, etc).Once we've confirmed the potential for finding intros and we have an idea of its accuracy and how many false positives this results in, we can move onto improving the accuracy. If it doesn't seem promising, we'll scrap it.
Experimental: Predict Intro Timestampssetting