talk · HACKER NEWS RECOMMENDATION
Imaging at a trillion frames per second | Ramesh Raskar
TED · 1 HN recommenders · 1 recommendation months
Recommended by 1 Hacker News commenters across 1 months (2012–2019).
SignalTube analysis
Among 18 other talk videos tagged Computer vision, speech & NLP, the mean is 2.6 distinct HN recommenders. This video has 1 distinct HN recommenders, below that mean. Recommendations span 1 distinct month; the peer average is 2.7 months. This is a data-derived comparison, not a human review or quality rating.
25% of its 4 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2012–2019; those years describe discussion history, not upload date. A verified runtime is not present in the current metadata snapshot. A verified YouTube publication date is not present in the current metadata snapshot.
- Channel / speaker
- TED
- Verified runtime
- Not verified in the current YouTube metadata
- YouTube upload date
- Not verified
- Hacker News mention years
- 2012–2019
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other talk videos in Computer vision, speech & NLP. “Shared recommenders” counts HN users who recommended both videos in the source graph.
| Video | HN recommenders | Recommendation months | Positive label share | Shared recommenders | Runtime | Upload date |
|---|---|---|---|---|---|---|
| Imaging at a trillion frames per second | Ramesh RaskarCurrent video | 1 | 1 | 25% | — | Not verified in the current YouTube metadata | Not verified |
| Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learningtalk · Google TechTalks | 9 | 7 | 82% | No recorded overlap | Not verified | Not verified |
| "Voice Driven Development: Who needs a keyboard anyway?" by Emily Sheatalk · Strange Loop Conference | 5 | 6 | 67% | No recorded overlap | Not verified | Not verified |
| Andrej Karpathy - AI for Full-Self Driving at Teslatalk · Matroid | 4 | 6 | 44% | No recorded overlap | Not verified | Not verified |
THREE SOURCE-BASED CONTEXT POINTS
Why Hacker News recommends it
Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.
The archive classifies this as a contextual reference in “Show HN: Wave-based non-line-of-sight computational imaging in Julia”. Its short rationale: Talk with an animated explanation of femto-photography and seeing around corners.
The archive classifies this as a contextual reference in “Camera freezes time at 10 trillion frames per second”. Its short rationale: TED talk explaining in detail how the trillion-fps camera works.
The archive classifies this as a contextual reference in “Femto-Photography: Visualizing Photons in Motion at a Trillion Frames per Second”. Its short rationale: Ramesh Raskar's TED talk on the femto-photography project.