CS 414 - Spring 2014 CS 414 – Multimedia Systems Design Lecture 5 – Digital Video Representation Klara Nahrstedt Spring 2014.

Slides:



Advertisements
Similar presentations
CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 4 – Digital Image Representation Klara Nahrstedt Spring 2009.
Advertisements

Chapter 6 Review.
Basics of MPEG Picture sizes: up to 4095 x 4095 Most algorithms are for the CCIR 601 format for video frames Y-Cb-Cr color space NTSC: 525 lines per frame.
Motivation Application driven -- VoD, Information on Demand (WWW), education, telemedicine, videoconference, videophone Storage capacity Large capacity.
Fundamental concepts in video
Video enhances, dramatizes, and gives impact to your multimedia application. Your audience will better understand the message of your application.
SWE 423: Multimedia Systems Chapter 5: Video Technology (1)
Comp :: Fall 2003 Video As A Datatype Ketan Mayer-Patel.
Fundamentals of Multimedia Chapter 5 Fundamental Concepts in Video Ze-Nian Li and Mark S. Drew 건국대학교 인터넷미디어공학부 임 창 훈.
CSc 461/561 CSc 461/561 Multimedia Systems Part A: 3. Video.
Image Formation and Digital Video
+ Video Compression Rudina Alhamzi, Danielle Guir, Scott Hansen, Joe Jiang, Jason Ostroski.
Chapter 5 Fundamental Concepts in Video
HDMI (High-Definition Multimedia Interface) What is HDMI? Background Info Review Terminology Explain Operation Advantages.
Chapter 2:Multimedia information representation
Video Media Department of Computer Education KMUTNB.
Page 18/30/2015 CSE 40373/60373: Multimedia Systems 4.2 Color Models in Images  Colors models and spaces used for stored, displayed, and printed images.
CS 1308 Computer Literacy and the Internet. Creating Digital Pictures  A traditional photograph is an analog representation of an image.  Digitizing.
Digital Representations Digital Video Special Effects Fall 2006.
Klara Nahrstedt Spring 2009
Multimedia Data Video Compression The MPEG-1 Standard
Multimedia- and Web-based Information Systems Lecture 5.
Fundamentals of video.
Digital Video Heejune AHN Embedded Communications Laboratory Seoul National Univ. of Technology Fall 2008 Last updated
Multimedia I (Audio/Video Data) CS423, Fall 2007 Klara Nahrstedt/Sam King 9/19/20151.
Video and Streaming Media Andy Dozier. Approach Video Standards – Analog Video – Digital Video Video Quality Parameters – Frame Rate – Color Depth – Resolution.
Klara Nahrstedt Spring 2011
Video Production for Education & Training Bill Duff, Jr. Copyright 1999 College of Human Resources & Education West Virginia University.
WebCCTV 1 Contents Introduction Getting Started Connecting the WebCCTV NVR to a local network Connecting the WebCCTV NVR to the Internet Restoring the.
1 Multimedia Information Representation. 2 Analog Signals  Fourier transform and analysis Analog signal and frequency components Signal bandwidth and.
ULTRA PIXELS ULTRA PIXELS The future of resolutions A SEMINAR ON
Video Video.
DIGITAL Video. Video Creation Video captures the real world therefore video cannot be created in the same sense that images can be created video must.
CS Spring 2010 CS 414 – Multimedia Systems Design Lecture 6 – Basics of Compression (Part 1) Klara Nahrstedt Spring 2010.
Concepts of Multimedia Processing and Transmission IT 481, Lecture 3 Dennis McCaughey, Ph.D. 5 February, 2007.
Video.
Videos Mei-Chen Yeh. Outline Video representation Basic video compression concepts – Motion estimation and compensation Some slides are modified from.
CIS679: Multimedia Basics r Multimedia data type r Basic compression techniques.
But, how does all of this really work? Zettl Chapter 4.
1 IMAGE ACQUSITION. 2 VIDEO 3 TRANSMISSION OF IMAGES/VIDEO.
Rick Parent - CIS681 Background Perception Display Considerations Video Technology.
Rick Parent - CIS681 Background Perception Display Considerations Film and Video, Analog and Digital Technology.
Ch5: TELEVISION.
What Exactly is Television?  A process of transmitting images through a signal from one place or another.
DIGITAL IMAGE. Basic Image Concepts An image is a spatial representation of an object An image can be thought of as a function with resulting values of.
Digital Video Digital video is basically a sequence of digital images  Processing of digital video has much in common with digital image processing First.
CS Spring 2012 CS 414 – Multimedia Systems Design Lecture 4 – Visual Perception and Digital Image Representation Klara Nahrstedt Spring 2012.
IntroductiontMyn1 Introduction MPEG, Moving Picture Experts Group was started in 1988 as a working group within ISO/IEC with the aim of defining standards.
Objective Understand concepts used to create digital video. Course Weight : 5%
CS Spring 2010 CS 414 – Multimedia Systems Design Lecture 4 – Audio and Digital Image Representation Klara Nahrstedt Spring 2010.
C HAPTER 5: F UNDAMENTAL C ONCEPTS IN V IDEO 1. T YPES OF V IDEO S IGNALS Component video Higher-end video systems make use of three separate video signals.
CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 19 – Multimedia Transport Subsystem (Part 2) + Midterm Review Klara Nahrstedt Spring 2014.
Concepts Used to Create Digital Audio & Video Objectives &
1 Basics of Video Multimedia Systems (Module 1 Lesson 3) Summary: r Types of Video r Analog vs. Digital Video r Digital Video m Chroma Sub-sampling m HDTV.
Video Concepts and Techniques 1 SAMARTH COLLEGE OF ENGINEERING &TECHNOLOLOGY DEPARTMENT OF ELECTRONIC & COMMUNICATION ENGINEERING 5th semester (E&C) Subject.
AUDIO VIDEO SYSTEMS Prepared By :- KISHAN DOSHI ( ) PARAS BHRAMBHATT ( ) VAIBHAV SINGH THAKURALE ( )
Digital Video Representation Subject : Audio And Video Systems Name : Makwana Gaurav Er no.: : Class : Electronics & Communication.
4K Resolution The future of resolutions. Table of Contents 1. What is resolution? 2. Common Terms 3. Background & Current Technologies 4. 4K resolution.
High Definition Television. 2 Overview Technology advancements History Why HDTV? Current TV standards HDTV specifications Timeline Application Current.
1 Introduction to Video Compression תשס"ט – 2009 דחיסת מולטימדיה – הנדסת מערכות תקשורת Part A Introduction to Video Compression תשס"ט – 2009 דחיסת מולטימדיה.
CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 4 – Visual Perception and Digital Image Representation Klara Nahrstedt Spring 2014.
Fundamental concepts in video
AMCOM Digital Archive Design Review - Week 4.
CSI-447 : Multimedia Systems
"Digital Media Primer" Yue-Ling Wong, Copyright (c)2013 by Pearson Education, Inc. All rights reserved.
"Digital Media Primer" Yue-Ling Wong, Copyright (c)2013 by Pearson Education, Inc. All rights reserved.
Digital 2D Image Basic Masaki Hayashi
Concepts in Video MMA Lecture 08 Prepared by Faraz khan.
Chapter 6 Fundamentals of Digital Video
Faculty of Science Information Technology Safeen Hasan Assist Lecturer
Presentation transcript:

CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 5 – Digital Video Representation Klara Nahrstedt Spring 2014

CS Spring 2014 Administrative MP1 will be out (February 2)  Deadline of MP1 is February 19 (Wednesday), 5pm  You can have 2 bonus day if needed (just keep in mind that you can have totally 3 bonus days for all three MPs)  Submit via compass MP1 discussion during Lecture on February 7 (Friday)

Today Introduced Concepts Digital Image Representation  Quantization, Color Issues, Image Size Video – Additional Visual Perception Dimensions  Resolution, Brightness, Temporal Resolution Television  Analog, Digital  NTSC, HDTV, … CS Spring 2014

Color Quantization Example of 24 bit RGB Image CS Spring bit Color Monitor

Image Representation Example bit RGB Representation (uncompressed) Color Planes

Image Properties (Color) CS Spring 2014

Color Histogram CS Spring 2014

Spatial and Frequency Domains Spatial domain  refers to planar region of intensity values at time t Frequency domain  think of each color plane as a sinusoidal function of changing intensity values  refers to organizing pixels according to their changing intensity (frequency) CS Spring 2014

Image Size (in Bits) Image Size = Height x Width X Bits/pixel Example:  Consider image 320x240 pixels with 8 bits per pixel  Image takes storage 7680 x 8 bits = bits or 7680 bytes CS Spring 2014

What is 2D Video? 300 image frames CS Spring 2014

Visual Perception: Resolution and Brightness Visual Resolution (depends on: )  Image size  Viewing distance Brightness  Perception of brightness is higher than perception of color  Different perception of primary colors Relative brightness: green:red:blue= 59%:30%:11% CS Spring 2014 Source: wikipedia

CS Spring 2014 Visual Perception: Resolution and Brightness

Visual Perception: Temporal Resolution CS Spring 2014 Effects caused by inertia of human eye Perception of 16 frames/second as continuous sequence Special Effect: Flicker

Temporal Resolution Flicker  Perceived if frame rate or refresh rate of screen too low (<50Hz)  Especially in large bright areas Higher refresh rate requires:  Higher scanning frequency  Higher bandwidth CS Spring 2014

Visual Perception Influence Viewing distance Display ratio  width/height – 4/3 for conventional TV  Width/height – 16/9 for HDTV Number of details still visible Intensity (luminance) CS Spring 2014

16 3D Video Stereo video and Free- viewpoint video

Stereo 3D Image Most stereoscopic methods present two offset images separately to the left and right eye of the viewer. These two-dimensional images are then combined in the brain to give the depth perceptiontwo-dimensional Visual requirements for 3D video  Simultaneous perception  Fusion (binocular ‘single’ vision)  Stereopsis (impression of depth) CS Spring 2014

3D Image Binocular viewing of scene creates  Two slightly different images of the scene in the two eyes due to the eyes’ different positions on the head  These differences, referred to as binocular disparity, provide information that the brain can use to calculate depth in the visual scene, providing depth perception Stereoscopic Image sl-stereoscopic/

3D Image/Video - Depth Perception Depth perception  Visual ability to perceive world in 3D and the distance of an object  Depth sensation is corresponding term for animals (it is not known whether they perceive depth in the same subjective way that humans do) Depth cues  Binocular cues that are based on receipt of sensory information in 3D from both eyes  Monocular cues that can be represented in just 2D and observed (depth) with just one eye. CS Spring 2014

Depth Mapping 20 3D Teleimmersive Video 2D Capture Background Subtraction Meshing = 3D Frame Texture Mapping

Television History (Analog) 1927, Hoover made a speech in Washington while viewers in NY could see, hear him AT&T Bell Labs had the first “television”  18 fps, 2 x 3 inch screen, 2500 pixels

Analog Television Concepts Production (capture)  2D  structured formats Representation and Transmission  popular formats include NTSC, PAL, SECAM Re-construction  scanning  display issues (refresh rates, temporal resolution)  relies on principles of human visual system CS Spring 2014

Color Space: YUV PAL video standard  Y is luminance  UV are chrominance YUV from RGB Y =.299R +.587G +.114B U = (B - Y) V = (R - Y) U-V plane at Y=0.5 CS Spring 2014 Source: wikipedia Y U V

YIQ (NTSC) YIQ from RGB Y =.299R +.587G +.114B I =.74 (R - Y) -.27 (B - Y) Q = 0.48 (R - Y) (B - Y) CS Spring 2014 Source: wikipedia YIQ with Y=0.5

Video Representations CS Spring 2014

TV History CS Spring 2014

HDTV (Digital) Resolutions:  1920x1080 (1080p) – Standard HD (HDTV)  2160p, …  4096x2304 (4096p) – 4K High HD Frame rate:  HDTV - 50 or 60 frames per second  HDTV – 120 fps CS Spring 2014

HDTV Interlaced (i) and/or progressive (p) formats  Conventional TVs – use interlaced formats  Computer displays (LCDs) – use progressive scanning MPEG-2 compressed streams In Europe (Germany) – MPEG-4 compressed streams CS Spring 2014

Aspect Ratio and Refresh Rate Aspect ratio  Conventional TV is 4:3 (1.33)  HDTV is 16:9 (2.11)  Cinema uses 1.85:1 or 2.35:1 Frame Rate  NTSC is 60Hz interlaced (actually 59.94Hz)  PAL/SECAM is 50Hz interlaced  Cinema is 24Hz non- interlaced CS Spring 2014 Source: wikipedia

CS Spring 2014 Resolution

Digital Video and TV Bit rate: amount of information stored per unit time (second) of a recording Color Coding: YCrCb  Subset of YUV that scales and shifts the chrominance values into range 0..1 Y = 0.299R G +.114B Cr = ((B-Y)/2) Cb = ((R-Y)/1.6) CS Spring 2014 Y Cr Cb

Digital Video and TV Color space compression  YUV bits per pixel  YUV bits/pixel  YUV bits/pixel CS Spring 2014

Digital Video and TV DVD video  Since 1997  Resolution and frame rate 704x480 at fps 704x576 at 25 fps  Bitrate: 9.8 Mbps CS Spring 2014

Digital Video and TV Blu-ray video  since 2006  Resolution and frame rate 1920i fps) – interlaced 1920p fps) – progressive ….  Bitrate : 40 Mbps CS Spring 2014

3DTV Refresh rate no less than 120 Hz Synchronized shutter glasses to enable different views for different eyes CS Spring 2014

Summary Digitization of Video Signals  Composite Coding  Component Coding Digital Television (DTV)  DVB (Digital Video Broadcast) Satellite connections, CATV networks – best suited for DTV DVB-S – for satellites (also DVB-S2) DVB-C – for CATV CS Spring 2014

SMPTE Time Codes Society of Motion Picture and Television Engineers defines time codes for video  HH:MM:SS:FF  01:12:59:16 represents number of pictures corresponding to 1hour, 12 minutes, 59 seconds, 16 frames If we consider 30 fps, then 59 seconds represent 59*30 frames, 12 minutes represent 12*60*30 frames and 1 hour represents 1*60*60*30 frames. For NTSC, SMPTE uses a 30 drop frame code  increment as if using 30 fps, when really NTSC has only 29.97fps  defines rules to remove the difference error CS Spring 2014