MACHINE ASR ACCESSIBILITY AID

05_What_A_I_Video_Is_-_and_Is_Not.mp3

Not an editorially verified transcript. This text was generated automatically from the preserved recording and may contain recognition, language-detection, spelling, segmentation or name errors. Consult the source recording for authoritative content.
Collection
Part 9 · VIDEHA MITHILA MAITHILI DISCUSSION CRITICISM SERIES PART 9
Status
asr-draft
Human verified
No
Editorial review
not-reviewed
ASR model
small
Detected language
en (0.982063)
Duration
3:04
Source
Open preserved recording

Timestamped machine output

  1. 0:00–0:03Chapter 1. What अई विटिडो लिज अन दिस नाथ.
  2. 0:03–0:06By the end of this chapter, you will be able to
  3. 0:06–0:16distinguish जनरतिद विटिडो फ्रम अर्दिनरी अइदिदिदिंग दाथ रेकुगनाईज दुस्फो अन डन रिलाएबो तास्ख चुज न अप्रोप्रिद ये फिर्स्थ प्रोज्यक्त की तर्म्स.
  4. 0:16–0:20Generative video text to video image to video human editing.
  5. 0:20–0:28An iVideo is moving image content in which a machine learning system helps create or transform one or more elements.
  6. 0:28–0:35Images, motion, voice, captions, sound, color, background or editing decisions.
  7. 0:35–0:41It does not mean that a complete, coherent film appears reliably from one sentence.
  8. 0:41–0:45Successful work is usually the result of many small human choices.
  9. 0:45–0:474 common forms
  10. 0:47–0:50Text to video, you describe a shot in words
  11. 0:50–0:54The system invents the visual content and motion
  12. 0:54–0:57Image to video, you provide the starting image
  13. 0:57–1:03The prompt concentrates on movement, camera behavior and atmosphere
  14. 1:03–1:07Video to video, you transform an existing clip
  15. 1:07–1:13Style, background, light, clothing, texture or selected objects may change
  16. 1:13–1:24A system editing. The system helps with scripts, captions, noise reduction, reframing, voice, music, color matching, or short inserts.
  17. 1:24–1:30Where I is useful. Creating imaginative alternatives to expensive or unavailable B-roll.
  18. 1:30–1:34Adding controlled motion and atmosphere to a still image.
  19. 1:34–1:38Producing several visual interpretations of one idea quickly.
  20. 1:38–1:44Quickly, drafting shot lists, titles, scripts and edit plans.
  21. 1:44–1:51Reducing repetitive work in captions, resizing, cleanup and rough assembly, where it is weak.
  22. 1:51–1:56Maintaining the same face, hands, costume and objects for a long sequence.
  23. 1:56–2:02Rendering accurate text, logos, maps, numbers and historical detail.
  24. 2:02–2:06Coordinating many people or several actions in one shot.
  25. 2:06–2:11regional words and preserving cultural nuance without supervision.
  26. 2:11–2:15Distinguishing a plausible looking invention from a true event.
  27. 2:15–2:21The central rule generate images with a I, but verify facts yourself.
  28. 2:21–2:26Generate speech with a I, but listen to every proper noun and regional word.
  29. 2:26–2:31Accept help with the script, but keep the meaning and voice your own.
  30. 2:31–2:32Self check.
  31. 2:32–2:37What is the basic difference between text to video and image to video?
  32. 2:37–2:40Why should a long story be generated as a series of short shots?
  33. 2:40–2:45Who is responsible for verifying a realistic looking generated scene?
  34. 2:45–2:47Answer guide 1.
  35. 2:47–2:51Text to video invents both the scene and its motion.
  36. 2:51–2:54Image to video begins from a supplied image.
  37. 2:54–2:552.
  38. 2:55–2:59Short shots are easier to control, replace and edit consistently.
  39. 2:59–3:003.
  40. 3:00–3:02a human creator and publisher.

Plain text

Chapter 1. What अई विटिडो लिज अन दिस नाथ. By the end of this chapter, you will be able to distinguish जनरतिद विटिडो फ्रम अर्दिनरी अइदिदिदिंग दाथ रेकुगनाईज दुस्फो अन डन रिलाएबो तास्ख चुज न अप्रोप्रिद ये फिर्स्थ प्रोज्यक्त की तर्म्स. Generative video text to video image to video human editing. An iVideo is moving image content in which a machine learning system helps create or transform one or more elements. Images, motion, voice, captions, sound, color, background or editing decisions. It does not mean that a complete, coherent film appears reliably from one sentence. Successful work is usually the result of many small human choices. 4 common forms Text to video, you describe a shot in words The system invents the visual content and motion Image to video, you provide the starting image The prompt concentrates on movement, camera behavior and atmosphere Video to video, you transform an existing clip Style, background, light, clothing, texture or selected objects may change A system editing. The system helps with scripts, captions, noise reduction, reframing, voice, music, color matching, or short inserts. Where I is useful. Creating imaginative alternatives to expensive or unavailable B-roll. Adding controlled motion and atmosphere to a still image. Producing several visual interpretations of one idea quickly. Quickly, drafting shot lists, titles, scripts and edit plans. Reducing repetitive work in captions, resizing, cleanup and rough assembly, where it is weak. Maintaining the same face, hands, costume and objects for a long sequence. Rendering accurate text, logos, maps, numbers and historical detail. Coordinating many people or several actions in one shot. regional words and preserving cultural nuance without supervision. Distinguishing a plausible looking invention from a true event. The central rule generate images with a I, but verify facts yourself. Generate speech with a I, but listen to every proper noun and regional word. Accept help with the script, but keep the meaning and voice your own. Self check. What is the basic difference between text to video and image to video? Why should a long story be generated as a series of short shots? Who is responsible for verifying a realistic looking generated scene? Answer guide 1. Text to video invents both the scene and its motion. Image to video begins from a supplied image. 2. Short shots are easier to control, replace and edit consistently. 3. a human creator and publisher.

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