Podcast
Questions and Answers
Which of the following is NOT a primary component traditionally associated with multimedia?
Which of the following is NOT a primary component traditionally associated with multimedia?
- Video
- Olfactory stimuli (correct)
- Audio
- Text
What is the defining characteristic of supervised learning in the context of AI?
What is the defining characteristic of supervised learning in the context of AI?
- Allowing a model to explore data and discover patterns without explicit guidance.
- Training a model without any labeled data.
- Using reinforcement signals to guide the learning process.
- Training a model on a dataset where each input is paired with a corresponding output label. (correct)
In the context of multimedia, which of the following exemplifies interactive media?
In the context of multimedia, which of the following exemplifies interactive media?
- A pre-recorded film playing in a movie theatre.
- A printed book with static images.
- A podcast available for streaming.
- A website where users can click buttons and enter information. (correct)
A creative director wants to use AI to generate variations of a marketing campaign visual. Which AI application would be most suitable for this task?
A creative director wants to use AI to generate variations of a marketing campaign visual. Which AI application would be most suitable for this task?
An audio engineer uses AI to remove background noise from a music recording. Which component of multimedia does this directly enhance?
An audio engineer uses AI to remove background noise from a music recording. Which component of multimedia does this directly enhance?
A virtual reality experience aims to simulate the feeling of walking through a forest, incorporating visuals, sounds, and interactive elements. What combination of multimedia components is essential for achieving a convincing sense of presence in this simulation?
A virtual reality experience aims to simulate the feeling of walking through a forest, incorporating visuals, sounds, and interactive elements. What combination of multimedia components is essential for achieving a convincing sense of presence in this simulation?
An advertising agency seeks to leverage AI to create hyper-personalized ad content for millions of users. They plan to use Supervised Learning to predict which ad creative (image, text, video) will have the highest engagement (click-through rate). What is the MOST critical challenge they will face in ensuring their AI system doesn't perpetuate harmful stereotypes or biases?
An advertising agency seeks to leverage AI to create hyper-personalized ad content for millions of users. They plan to use Supervised Learning to predict which ad creative (image, text, video) will have the highest engagement (click-through rate). What is the MOST critical challenge they will face in ensuring their AI system doesn't perpetuate harmful stereotypes or biases?
What is a current, commonly recognized imperfection in AI-generated images?
What is a current, commonly recognized imperfection in AI-generated images?
What is the primary function of AI inpainting?
What is the primary function of AI inpainting?
In the AI image inpainting process described, after selecting an area to edit, what is the next crucial step?
In the AI image inpainting process described, after selecting an area to edit, what is the next crucial step?
After applying the initial inpainting, what action allows the user to refine the result before finalizing it?
After applying the initial inpainting, what action allows the user to refine the result before finalizing it?
During AI image inpainting, a user uploads an image with a cat, intending to add a hat to it using a text prompt. The AI, however, replaces the cat's tail with a second hat instead of adding one on the cat's head. Which limitation of current AI models does this outcome MOST clearly demonstrate?
During AI image inpainting, a user uploads an image with a cat, intending to add a hat to it using a text prompt. The AI, however, replaces the cat's tail with a second hat instead of adding one on the cat's head. Which limitation of current AI models does this outcome MOST clearly demonstrate?
What is the primary characteristic of generative AI?
What is the primary characteristic of generative AI?
Which of the following is an example of multimodal learning in AI?
Which of the following is an example of multimodal learning in AI?
In the context of generative AI, what is the role of an artist, using that AI as a tool?
In the context of generative AI, what is the role of an artist, using that AI as a tool?
What does the 'forward diffusion process' achieve in image generation?
What does the 'forward diffusion process' achieve in image generation?
What is the purpose of the 'reverse denoise process' within generative AI?
What is the purpose of the 'reverse denoise process' within generative AI?
What is 'prompt engineering' in the context of AI?
What is 'prompt engineering' in the context of AI?
How do artists utilize AI in creating artwork?
How do artists utilize AI in creating artwork?
In the diffusion model for image generation, what is the relationship between 'Input A' and 'Output B'?
In the diffusion model for image generation, what is the relationship between 'Input A' and 'Output B'?
What underlying mathematical principle allows diffusion models to generate high-quality images from noisy inputs?
What underlying mathematical principle allows diffusion models to generate high-quality images from noisy inputs?
Consider a scenario where a generative AI model is trained to produce photorealistic images of birds. After extensive training, the model consistently generates images of birds with an additional, subtly distorted, but discernible artifact resembling a watermark in the lower-right corner. This artifact is never present in the training data. What is the MOST probable cause of this phenomenon?
Consider a scenario where a generative AI model is trained to produce photorealistic images of birds. After extensive training, the model consistently generates images of birds with an additional, subtly distorted, but discernible artifact resembling a watermark in the lower-right corner. This artifact is never present in the training data. What is the MOST probable cause of this phenomenon?
What is the initial and crucial step to take before writing a prompt for AI image generation?
What is the initial and crucial step to take before writing a prompt for AI image generation?
Which of the following elements are essential components of a well-structured prompt for AI image generation?
Which of the following elements are essential components of a well-structured prompt for AI image generation?
How can you enhance a basic prompt consisting of 'subject, action, object' to achieve a more refined AI-generated image?
How can you enhance a basic prompt consisting of 'subject, action, object' to achieve a more refined AI-generated image?
What information is included in the prompt example: '1 GIRL, 25 YO, LONG HAIR, BROWN HAIR, BROWN EYE, WORKING LOOK, BLACK SUIT, FORMAL SUIT, SMILE, HOLDING A RABBIT DOLL garden, flowers, morning light, rim light, view from above, look at viewer, Olympus em5,25 mm f 1.4,bokeh'?
What information is included in the prompt example: '1 GIRL, 25 YO, LONG HAIR, BROWN HAIR, BROWN EYE, WORKING LOOK, BLACK SUIT, FORMAL SUIT, SMILE, HOLDING A RABBIT DOLL garden, flowers, morning light, rim light, view from above, look at viewer, Olympus em5,25 mm f 1.4,bokeh'?
What is the purpose of the 'Practice 1' exercise described?
What is the purpose of the 'Practice 1' exercise described?
In 'Practice 2,' what key element should the presenter in the advertisement image have?
In 'Practice 2,' what key element should the presenter in the advertisement image have?
What platform is recommended for AI image generation practice, and how are its resources provided?
What platform is recommended for AI image generation practice, and how are its resources provided?
Where should the completed AI image generation assignments be submitted?
Where should the completed AI image generation assignments be submitted?
Assuming each image generation costs a variable amount of credits on Dreamina, and you aim to create 3 distinct images for 'Practice 1' and 'Practice 2'. if the first image costs 120 credits, the second 150, and the third 180, what percentage of your daily free credits (450) will be utilized?
Assuming each image generation costs a variable amount of credits on Dreamina, and you aim to create 3 distinct images for 'Practice 1' and 'Practice 2'. if the first image costs 120 credits, the second 150, and the third 180, what percentage of your daily free credits (450) will be utilized?
Given the prompt structure of 'Type of expected image, Subject, action, object, Light and camera setting,' and considering the importance of each element, which of the following prompts is MOST LIKELY to yield a high-quality, specific, and visually appealing AI-generated image, assuming the user is aiming for a hyperrealistic photograph?
Given the prompt structure of 'Type of expected image, Subject, action, object, Light and camera setting,' and considering the importance of each element, which of the following prompts is MOST LIKELY to yield a high-quality, specific, and visually appealing AI-generated image, assuming the user is aiming for a hyperrealistic photograph?
What differentiates unsupervised learning from supervised learning?
What differentiates unsupervised learning from supervised learning?
Which of the following is a primary goal of generative models?
Which of the following is a primary goal of generative models?
What is the core principle behind multimodal learning?
What is the core principle behind multimodal learning?
In the context of speech animation, what is the main objective of synchronizing lip movements and facial expressions with speech?
In the context of speech animation, what is the main objective of synchronizing lip movements and facial expressions with speech?
How do AI techniques generally contribute to image processing?
How do AI techniques generally contribute to image processing?
Deep learning models with many layers are used to model complex patterns in large datasets. What is the name of this Machine learning?
Deep learning models with many layers are used to model complex patterns in large datasets. What is the name of this Machine learning?
Consider a scenario where a virtual avatar needs to realistically mimic human speech. Which AI technique would be MOST crucial for achieving believable lip sync and facial expressions?
Consider a scenario where a virtual avatar needs to realistically mimic human speech. Which AI technique would be MOST crucial for achieving believable lip sync and facial expressions?
An engineer is tasked with developing an AI model that can generate photorealistic 3D models of furniture from simple text descriptions (e.g., 'a cozy, modern armchair'). Which combination of AI techniques would be MOST suitable for this application?
An engineer is tasked with developing an AI model that can generate photorealistic 3D models of furniture from simple text descriptions (e.g., 'a cozy, modern armchair'). Which combination of AI techniques would be MOST suitable for this application?
Flashcards
Multimedia
Multimedia
Content that uses a combination of different forms of media to convey information or provide entertainment.
Media
Media
Various means of communication used to deliver information, entertainment, and other forms of content to a broad audience.
Text (in Multimedia)
Text (in Multimedia)
Written content, such as articles, captions, subtitles, and descriptions.
Audio (in Multimedia)
Audio (in Multimedia)
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Images (in Multimedia)
Images (in Multimedia)
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Video (in Multimedia)
Video (in Multimedia)
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Supervised Learning
Supervised Learning
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Deep Learning
Deep Learning
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Generative Models
Generative Models
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Multimodal Learning
Multimodal Learning
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AI Upscaling
AI Upscaling
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Speech Animation
Speech Animation
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Image Processing with AI
Image Processing with AI
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Machine Learning
Machine Learning
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Generative AI
Generative AI
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AI-Assisted Artwork
AI-Assisted Artwork
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Forward Diffusion Process
Forward Diffusion Process
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Reverse Denois Process
Reverse Denois Process
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Prompt Engineering
Prompt Engineering
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Image Generation - Diffusion Model
Image Generation - Diffusion Model
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Slightly Less Noisy Image
Slightly Less Noisy Image
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Add Noise
Add Noise
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AI Fixed
AI Fixed
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AI Image Flaw: Text
AI Image Flaw: Text
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AI Image Flaw: Limbs
AI Image Flaw: Limbs
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AI Inpainting Definition
AI Inpainting Definition
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Inpainting Steps: Selecting and Prompting
Inpainting Steps: Selecting and Prompting
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AI Inpainting: Confirming Results
AI Inpainting: Confirming Results
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Target picture
Target picture
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Prompt Structure
Prompt Structure
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Image Type
Image Type
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Subject, Action, Object
Subject, Action, Object
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Light and Camera Setting
Light and Camera Setting
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Dreamina
Dreamina
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Free Credits
Free Credits
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Download Result
Download Result
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AI Practice 1
AI Practice 1
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AI Practice 2
AI Practice 2
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Study Notes
- AI is used in creative industries and this module covers AI, ML, and Data Science.
- The goal of this section is to introduce multimedia and creative content.
- The goal is to introduce the current use of AI for the creative industry.
- This presentation will apply generative AI to create media and introduce the current issues with generative AI.
Multimedia Definition
- Multimedia is content using a combination of media forms
- These media forms convey information or provide entertainment.
Media Definition
- Media is the plural of Medium
- It consists of various means of communication
- Media is used to deliver information, entertainment, and other forms of content to a wide audience.
Components of Multimedia
- Text examples include articles, captions, subtitles, and descriptions
- Audio examples include podcasts, music tracks, and voiceovers
- Images are static visual representations such as photos, diagrams, icons, and infographics.
- Video covers moving visual media like movies, video clips, tutorials, and animations
- Interactive media requires user interaction, such as websites, video games, virtual reality experiences, and interactive presentations.
Machine Learning in Multimedia
- Supervised Learning trains a model on a labeled dataset
- The goal is to map inputs to outputs for accurate label prediction on new, unseen data
- Unsupervised Learning trains a model on unlabeled data and learns the underlying structure or patterns
- Deep Learning focuses on neural networks with many layers to model complex patterns in large datasets.
- Generative Models aim to generate new data points similar to the existing data, creating samples resembling the original data.
- Multimodal Learning integrates and processes information from multiple data types or modalities simultaneously.
Rendering with AI
- AI is used for rendering of videos and images
- This includes 3D rendering and upscaling resolution
AI 3D Animation
- Speech Animation synchronizes lip movements and facial expressions with AI
- This is often used in character animation and virtual avatars.
- Facial animation is automated from audio which is analyzed and translated into virtual muscle activations
- Virtual muscle activation occurs within vocal tract simulation
Image Processing with AI
- AI enhances images or videos
Generative AI
- Generative AI applies a generative model to generate new data points
- These points are similar to the existing data.
- Generative AI applications include generating stories, images, audio, and video, and 3D models
How is Generative Al applied?
- Artists can create artwork with the assist of generative AI or use AI as a software tool
- Artists create prompts to ask AI to generate content
- Editing techniques are used to enhance generative AI outputs
Al Generated Content
- AI can generate content that can be edited with software
Video editing
- AI can generate videos, audio and voice overs
How Generative AI works
- Generative AI learning processes
- Original images can have noise added with AI
- AI also fixes images
Image Generation Models
- Image generation uses diffusion models
- Diffusion models can have inputs and outputs
Image Generation Process
- Image generation goes through a typical process for diffusion models
- Initially an image has noise, then AI removes the noise from user provided prompts
Prompt Engineering
- Prompt engineering is designing inputs for AI tools to produce optimal outputs
Writing Prompts
- Before writing a prompt it requires a clear image of the target picture in the head
- A good structure is required
- Expected image (Realistic, Semi-Realistic, Illustrator)
- Details regarding Subject, action, object
- Light and camera settings
Prompt Example
- A prompt will include subject and action, such as: 1 GIRL,WORKING LOOK, BLACK SUIT, FORMAL SUIT, HOLDING A RABBIT DOLL SIMPLE BACKGROUND, WHITE BACKGROUND
- A prompt can include light and camera settings, such as: garden, morning light, rim light, view from above
- Prompts can include: GIRL, 25 YO,LONG HAIR, BROWN HAIR,BROWN EYE,WORKING LOOK, BLACK SUIT, FORMAL SUIT, SMILE, HOLDING A RABBIT DOLL garden, flowers, morning light, rim light, view from above, look at viewer, Olympus em5,25 mm f 1.4,bokeh
Dreamina
- A website called Dreamina can be used to practice prompt engineering
- Dreamina has an interface where prompts can be tested
- Dreamina generate image outputs from simple prompts
- Dreamina outputs can downloaded
AI Image Generation
- Users can perform practice exercises such as generating an image of a favorite pet inside a dreamed home
- Users can generate an image for a product advertisement
- Following good prompt structure will improve results
Common Flaws in Al Generated Images
- Flaws occur in AI generated images
- These include issues with text presentation and images
- AI struggles with fingers, legs, tails, and appendages
Al Inpainting
- Generative AI can detect objects in images.
- AI inpainting helps edit parts of an image
Using Al Inpainting
- Upload a canvas and select an image to edit
- AI can be used to change the image style
Generative AI for Audio
- Generative AI for audio can generate lyrics for a song
- AI can generate music melodies
- Generative AI can create music from provided vocals
- Generative AI version has limited length and style for free version
Generative AI for Video
- Generative AI for video includes limited length and movements
MU Software
- Mahidol University provides software for free to students and Staff
- This includes software from Adobe
Creative Cloud
- Creative cloud is available via MU license
Software Downloads
- Software downloads are available via the MUIT website
Copyright
- A copyright grants the creator of an original work exclusive rights to its use and distribution for a certain period.
- Copyright exists to protect a creator's intellectual property and provide control over the work.
- It protects the creator's expression in a tangible medium.
- It protects literary, dramatic, musical, and artistic works, including poetry, novels, movies, songs, computer software, and architecture.
Copyright limitations
- Copyright does not protect facts, ideas, systems, or methods of operation
Copyright Permissions
- Copyright owners have rights to make copies, distribute copies, prepare derivative works, perform the works publicly, and display the work publicly.
Public Domain
- Public Domain works are not copyright protected
- They can be without permission or royalties.
- Anyone can copy, modify, distribute, or use public domain works.
- Public domain includes: Expired copyrights, government created works, volunteered releases such as CCO, and ideas or facts.
Fair Use
- Fair Use allows limited copy righted material without permission
- Transformative uses qualify as fair us, such as news reporting
- Adding message to the original making it transformative
- Non-commercial uses such as eduction or personal use
Terms of use agreements
- Terms of Use are legal agreements between a service and a user that outline rules and responsibilities. These cover usage, restrictions, licenses, privacy, etc.
AI Copyright
- Material created by generative AI tools do not currently receive copyright protections in US, according current laws and opinions
- AI is subject too fair use laws
- Generated artworks might infringe the copyright depending on the data the AI used to train the model
- Recheck both the data set and terms of use
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