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BEGIN:VEVENT
UID:0f0cb06bf2a6c8887b2ae55c11e924c8a2843ae4@swoogo.com
DTSTAMP:20260817T133730Z
DESCRIPTION:This paper explores the current and potential applications of G
 enerative AI (GenAI) in video workflows. We begin by delving into advancem
 ents in video generation models\, such as text-to-video\, and their use in
  previsualization\, second unit/b-roll\, and short-form content. Emphasis 
 is placed on prompt engineering\, a critical technique for tailoring model
  outputs to achieve desired cinematographic effects\, including camera pla
 cement\, movement\, shot composition\, focus\, and lighting. Additionally\
 , GenAI’s role in creating storyboards and enhancing video post-production
  workflows—including editing\, visual effects\, color correction\, and loc
 alization tasks like lip syncing and voice dubbing—is examined. We also di
 scuss how GenAI can enrich existing content\, such as adding commentary to
  sports broadcasts\, and improve video content management\, including incr
 easing discoverability and monetization of archived content.
DTSTART:20241023T170000Z
DTEND:20241023T173000Z
LAST-MODIFIED:20260817T133730Z
LOCATION:Session Room 2
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Video Production with Generative AI
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>This paper explores the current and potenti
 al applications of Generative AI (GenAI) in video workflows. We begin by d
 elving into advancements in video generation models\, such as text-to-vide
 o\, and their use in previsualization\, second unit/b-roll\, and short-for
 m content. Emphasis is placed on prompt engineering\, a critical technique
  for tailoring model outputs to achieve desired cinematographic effects\, 
 including camera placement\, movement\, shot composition\, focus\, and lig
 hting. Additionally\, GenAI’s role in creating storyboards and enhancing v
 ideo post-production workflows—including editing\, visual effects\, color 
 correction\, and localization tasks like lip syncing and voice dubbing—is 
 examined. We also discuss how GenAI can enrich existing content\, such as 
 adding commentary to sports broadcasts\, and improve video content managem
 ent\, including increasing discoverability and monetization of archived co
 ntent.</p>
BEGIN:VALARM
UID:64373965-3262-4739-b831-363063333865
ACTION:DISPLAY
DESCRIPTION:This paper explores the current and potential applications of G
 enerative AI (GenAI) in video workflows. We begin by delving into advancem
 ents in video generation models\, such as text-to-video\, and their use in
  previsualization\, second unit/b-roll\, and short-form content. Emphasis 
 is placed on prompt engineering\, a critical technique for tailoring model
  outputs to achieve desired cinematographic effects\, including camera pla
 cement\, movement\, shot composition\, focus\, and lighting. Additionally\
 , GenAI’s role in creating storyboards and enhancing video post-production
  workflows—including editing\, visual effects\, color correction\, and loc
 alization tasks like lip syncing and voice dubbing—is examined. We also di
 scuss how GenAI can enrich existing content\, such as adding commentary to
  sports broadcasts\, and improve video content management\, including incr
 easing discoverability and monetization of archived content.
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