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Michigan State University | CSE 471
MEDIA PROCESSING AND MULTIMEDIA
Professors
  • Owen
 
 
 

42 sample documents related to CSE 471

  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia CSE 471 Media Processing and Multimedia Charles B. Owen (Instructor) 1138 E. B., 353-6488 1:00-2:00MW, and check. Zubin Abraham (TA and assignments boss) Classroom: 1230 Engineering Building 1 CSE 47
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Feedback Filters Why we might need feedback Uses for feedback filters Resons 1 CSE 471 Media Processing and Multimedia Isotrack Motion Tracking System Tracks location of sensor relative to transmitter
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Digital Filters We\'ll decide on some desired spectral characteristics use tools or mathematics to create a filter that is as close as possible We\'ll 1 CSE 471 Media Processing and Multimedia Why we may
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Lots of Practical Audio Techniques Audio synthesis vs. processing Some code examples Delay 1 CSE 471 Media Processing and Multimedia Audio Synthesis Audio synthesis Generation of sounds using compute
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Sampling and Quantization Capturing sounds electronically Sampling sounds Aliasing Quantization 1 CSE 471 Media Processing and Multimedia Electronic capture of sounds N S 2 CSE 471 Media Processing a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia More Image Processing Operations Some operations we want to cover Edge detection, enhancement, etc. Region growing 1 CSE 471 Media Processing and Multimedia Edge Detection We want to find the boundar
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Sound, Sinusoids, and Spectrum Striking Strings Tubes Analog a Tine vs. Digital 1 CSE 471 Media Processing and Multimedia What is sound? Sound is a wave of vibrating pressure variations created in a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Phasors Phasors A and phasor math much more efficient way to analyze manipulations of digital audio 1 CSE 471 Media Processing and Multimedia Now, some simple questions? What do I get if I add two sinu
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Animation Basics The game loop Simple physics Euler steps Collision detection Collision response 1 CSE 471 Media Processing and Multimedia The game loop Core component of most animation applications
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia More Warping and Morphing Some ideas on advanced warping and morphing methods borrowed from Levent Ertz Most 1 CSE 471 Media Processing and Multimedia What is image morphing? Creating a smooth transit
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Introduction to Digital Images Representations Raster of samples in images images Monochrome Color 1 CSE 471 Media Processing and Multimedia Capture of Sampled Images Grid of light sensors 2 CSE 4
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Introduction to Digital Images Representations Raster of samples in images images Monochrome Color 1 CSE 471 Media Processing and Multimedia Capture of Sampled Images Grid of light sensors 2 CSE 4
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Video What How is video would you define it? 1 CSE 471 Media Processing and Multimedia Three Worlds of Video Computer Video Very unconstrained Broadcast Video (existing, but soon to go away) Ad
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Video What How is video would you define it? 1 CSE 471 Media Processing and Multimedia Three Worlds of Video Computer Video Very unconstrained Broadcast Video (existing, but soon to go away) Ad
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Image Warping Often we want to change the size or shape of an image What types of changes? Image Warping Mapping an image onto another image, where the new image may be larger, smaller, or a different s
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Image Warping Often we want to change the size or shape of an image What types of changes? Image Warping Mapping an image onto another image, where the new image may be larger, smaller, or a different s
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Other Animation Ideas. Vectors and such Asteroids A Car Game Collisions with textures 1 CSE 471 Media Processing and Multimedia Are we sure what vectors mean? What does x,y mean? What does p=(1.7, 3
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Introduction to Image Processing Operations on images Image filtering 1 CSE 471 Media Processing and Multimedia Operations on Images Assuming BYTE monochrome image: for(int r=0; r<height; r+) { for(int
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Compositing Combining two or more images to make a new image Focus: Chromakeying The Art and Science of Digital Compositing, Ron Brinkmann, Morgan Kaufmann, 1999 1 CSE 471 Media Processing and Multim
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Compositing Combining two or more images to make a new image Focus: Chromakeying The Art and Science of Digital Compositing, Ron Brinkmann, Morgan Kaufmann, 1999 1 CSE 471 Media Processing and Multim
     
  • Michigan State University CSE 471
    CSE 471: Media Processing and Multimedia Fall Term 2007 Course Information This course will study the use of media in computer applications. Students will study basic signal and image processing and the manipulation of audio, images, and video conten
     
  • Michigan State University CSE 471
    Digital Filters Effect such as echo and chorus are commonly referred to as temporal effects. They are easily understood as operations based of (relatively) large time delays. However, it\'s common that digital signals, such as digital audio, will be a
     
  • Michigan State University CSE 471
    Gaussian Filters A common tool for filtering images is the Gaussian Filter. This is a filter that uses a Gaussian function to create a two-dimensional filter kernel. But, instead of leaping right into a 2D filter, we\'ll start by examining the use of
     
  • Michigan State University CSE 471
    Image Compositing Image compositing is the blending of two or more images into a single output image, where each pixel is a combination of the colors from the corresponding pixels of the source images. In most cases two images are combined to make a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Feedback Filters Why we might need feedback Uses for feedback filters Resons 1 CSE 471 Media Processing and Multimedia Isotrack Motion Tracking System Tracks location of sensor relative to transmitter
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Digital Filters We\'ll decide on some desired spectral characteristics use tools or mathematics to create a filter that is as close as possible We\'ll 1 CSE 471 Media Processing and Multimedia Why we may
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Introduction to Digital Images Representations Raster of samples in images images Monochrome Color 1 CSE 471 Media Processing and Multimedia Capture of Sampled Images Grid of light sensors 2 CSE 4
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia More Image Processing Operations Some operations we want to cover Edge detection, enhancement, etc. Region growing 1 CSE 471 Media Processing and Multimedia Edge Detection We want to find the boundar
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia CSE 471 Media Processing and Multimedia Charles B. Owen (Instructor) 1138 E. B., 353-6488 1:00-2:00MW, and check. Zubin Abraham (TA and assignments boss) Classroom: 1230 Engineering Building 1 CSE 47
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Introduction to Image Processing Operations on images Image filtering 1 CSE 471 Media Processing and Multimedia Operations on Images Assuming BYTE monochrome image: for(int r=0; r<height; r+) { for(int
     
  • Michigan State University CSE 471
    CSE 471: Media Processing and Multimedia Fall Term 2007 Course Information This course will study the use of media in computer applications. Students will study basic signal and image processing and the manipulation of audio, images, and video conten
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Compositing Combining two or more images to make a new image Focus: Chromakeying The Art and Science of Digital Compositing, Ron Brinkmann, Morgan Kaufmann, 1999 1 CSE 471 Media Processing and Multim
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Phasors Phasors A and phasor math much more efficient way to analyze manipulations of digital audio 1 CSE 471 Media Processing and Multimedia Now, some simple questions? What do I get if I add two sinu
     
  • Michigan State University CSE 471
    Digital Filters Effect such as echo and chorus are commonly referred to as temporal effects. They are easily understood as operations based of (relatively) large time delays. However, it\'s common that digital signals, such as digital audio, will be a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Video What How is video would you define it? 1 CSE 471 Media Processing and Multimedia Three Worlds of Video Computer Video Very unconstrained Broadcast Video (existing, but soon to go away) Ad
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Sound, Sinusoids, and Spectrum Striking Strings Tubes Analog a Tine vs. Digital 1 CSE 471 Media Processing and Multimedia What is sound? Sound is a wave of vibrating pressure variations created in a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Sampling and Quantization Capturing sounds electronically Sampling sounds Aliasing Quantization 1 CSE 471 Media Processing and Multimedia Electronic capture of sounds N S 2 CSE 471 Media Processing a
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Image Warping Often we want to change the size or shape of an image What types of changes? Image Warping Mapping an image onto another image, where the new image may be larger, smaller, or a different s
     
  • Michigan State University CSE 471
    Gaussian Filters A common tool for filtering images is the Gaussian Filter. This is a filter that uses a Gaussian function to create a two-dimensional filter kernel. But, instead of leaping right into a 2D filter, we\'ll start by examining the use of
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Lots of Practical Audio Techniques Audio synthesis vs. processing Some code examples Delay 1 CSE 471 Media Processing and Multimedia Audio Synthesis Audio synthesis Generation of sounds using compute
     
  • Michigan State University CSE 471
    The file demo.seq is the simple sequencer demo source file. The files in the ss directory are score files for a system I wrote several years ago called SimpleSynth. It\'s interesting because every line completely defines the instrument that is use
     
  • Michigan State University CSE 471
    CSE 471 Media Processing and Multimedia Other Animation Ideas. Vectors and such Asteroids A Car Game Collisions with textures 1 CSE 471 Media Processing and Multimedia Are we sure what vectors mean? What does x,y mean? What does p=(1.7, 3
     
 
 
 
 
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