02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 2: Video Processing.

Slides:

Advertisements

Similar presentations

Computing Intermediate 2 Multimedia Technology

Advertisements

03/18/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 4: Digital.

INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS, ICT '09. TAREK OUNI WALID AYEDI MOHAMED ABID NATIONAL ENGINEERING SCHOOL OF SFAX New Low Complexity.

Automatic Video Shot Detection from MPEG Bit Stream Jianping Fan Department of Computer Science University of North Carolina at Charlotte Charlotte, NC.

Automated Shot Boundary Detection in VIRS DJ Park Computer Science Department The University of Iowa.

MPEG-4 Objective Standardize algorithms for audiovisual coding in multimedia applications allowing for Interactivity High compression Scalability of audio.

VIPER DSPS 1998 Slide 1 A DSP Solution to Error Concealment in Digital Video Eduardo Asbun and Edward J. Delp Video and Image Processing Laboratory (VIPER)

A presentation by Modupe Omueti For CMPT 820:Multimedia Systems

Discussion on Video Analysis and Extraction, MPEG-4 and MPEG-7 Encoding and Decoding in Java, Java 3D, or OpenGL Presented by: Emmanuel Velasco City College.

3D Video Generation and Service Based on a TOF Depth Sensor in MPEG-4 Multimedia Framework IEEE Consumer Electronics Sung-Yeol Kim Ji-Ho Cho Andres Koschan.

Recognition of Traffic Lights in Live Video Streams on Mobile Devices

ADVISE: Advanced Digital Video Information Segmentation Engine

MPEG: A Video Compression Standard for Multimedia Applications Didier Le Gall Communications of the ACM Volume 34, Number 4 Pages 46-58, 1991.

02/25/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 2: Video Processing.

10/14/2005ENEE408G Fall 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Image Processing.

05/06/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Final Remarks.

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

01/28/2005 ENEE408G Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing TA: Hung-Quoc Lai,

Overview of Multi-view Video Coding Yo-Sung Ho; Kwan-Jung Oh; Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech.

04/01/05ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 4: Digital Audio.

03/04/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 3: Digital.

02/11/05ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Image Processing.

Image (and Video) Coding and Processing Lecture: Motion Compensation Wade Trappe Most of these slides are borrowed from Min Wu and KJR Liu of UMD.

1 Bi-level Video: Video Communication at Very Low Bit Rates Jiang Li; Gang Chen; Jizheng Xu; Yong Wang; Hanning Zhou; Keman Yu; King To Ng; Heung-Yeung.

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

09/02/2005 ENEE408G Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing TA: Hung-Quoc Lai,

0 - 1 © 2007 Texas Instruments Inc, Content developed in partnership with Tel-Aviv University From MATLAB ® and Simulink ® to Real Time with TI DSPs Video.

ENEE 408G Multimedia Signal Processing Video Stabilization for Pocket PC Application Professor: Dr. Liu Group 4 Student: Hamed Hsiu-huei.

Xinqiao LiuRate constrained conditional replenishment1 Rate-Constrained Conditional Replenishment with Adaptive Change Detection Xinqiao Liu December 8,

WP -6: Human Tracking and Modelling Year–I Objectives: Simple upper-body models and articulated tracks from test videos. Year-I Achievements: Tracking.

Digital Image Stabilization 老師 : 楊士萱學生 : 鄭馥銘. Outline Introduction Basic architecture of DIS MVI method for DIS Future work.

09/09/2005ENEE408G Fall 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Digital Speech.

02/04/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Image Processing.

Streaming media over the Internet A million channels and there is still nothing on! By Samuel Shiffman Streaming Technologist Seton Hall University

EEL 6935 Embedded Systems Long Presentation 2 Group Member: Qin Chen, Xiang Mao 4/2/20101.

An Introduction to H.264/AVC and 3D Video Coding.

EE 5359 H.264 to VC 1 Transcoding Vidhya Vijayakumar Multimedia Processing Lab MSEE, University of Arlington Guided.

JPEG 2000 Image Type Image width and height: 1 to 2 32 – 1 Component depth: 1 to 32 bits Number of components: 1 to 255 Each component can have a different.

 Coding efficiency/Compression ratio:  The loss of information or distortion measure:

MPEG Motion Picture Expert Group Moving Picture Encoded Group Prateek raj gautam(725/09)

1 Efficient Reference Frame Selector for H.264 Tien-Ying Kuo, Hsin-Ju Lu IEEE CSVT 2008.

Abhik Majumdar, Rohit Puri, Kannan Ramchandran, and Jim Chou /24 1 Distributed Video Coding and Its Application Presented by Lei Sun.

Desktop Video. Basics Desktop Video Desktop Video Frame Rate Frame Rate.

MPEG Video Technology Virtual Lab Tour: Vision Systems for Mobile Robots By: Soradech Krootjohn Vanderbilt University Center for Intelligent Systems Feb.

09/30/2005ENEE408G Fall 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 2: Digital Audio.

MULTIMEDIA INPUT / OUTPUT TECHNOLOGIES

2 3 Be introduced in H.264 FRExt profile, but most H.264 profiles do not support it. Do not need motion estimation operation.

Compression video overview 演講者：林崇元. Outline Introduction Fundamentals of video compression Picture type Signal quality measure Video encoder and decoder.

Rate-distortion Optimized Mode Selection Based on Multi-channel Realizations Markus Gärtner Davide Bertozzi Classroom Presentation 13 th March 2001.

MOTION ESTIMATION IMPLEMENTATION IN RECONFIGURABLE PLATFORMS

Spring 2000CS 4611 Multimedia Outline Compression RTP Scheduling.

Advances in digital image compression techniques Guojun Lu, Computer Communications, Vol. 16, No. 4, Apr, 1993, pp

MPEG-4: Multimedia Coding Standard Supporting Mobile Multimedia System -MPEG-4 Natural Video Coding April, 2001.

© ACTS-MoMuSys All Rights Reserved. VOGUE The Video Object Generator with User Environment Ecole Nationale Supérieure des Mines de Paris, France.

Video Data Topic 4: Multimedia Technology. Learning Objectives Hardware required to capture Digital video How video files are stored Factors affecting.

Animation Pertemuan 09 &10 Matakuliah: O Computer / Multimedia Tahun: Feb

Blind Quality Assessment System for Multimedia Communications Using Tracing Watermarking P. Campisi, M. Carli, G. Giunta and A. Neri IEEE Transactions.

(B1) What are the advantages and disadvantages of digital TV systems? Hint: Consider factors on noise, data security, VOD etc. 1.

Motion Detection Frame 1Frame 2 Anomalous activity.

EE591f Digital Video Processing

Motion Estimation Multimedia Systems and Standards S2 IF Telkom University.

1 Department of Electrical Engineering, Stanford University EE 392J Final Project Presentation Shantanu Rane Hash-Aided Motion Estimation & Rate Control.

6/9/20161 Video Compression Techniques Image, Video and Audio Compression standards have been specified and released by two main groups since 1985: International.

Principles of Video Compression Dr. S. M. N. Arosha Senanayake, Senior Member/IEEE Associate Professor in Artificial Intelligence Room No: M2.06

A Fast Video Noise Reduction Method by Using Object-Based Temporal Filtering Thou-Ho (Chao-Ho) Chen, Zhi-Hong Lin, Chin-Hsing Chen and Cheng-Liang Kao.

Computer Photography -Scene Fixed 陳立奇.

ENTERFACE 08 Project 9 “ Tracking-dependent and interactive video projection ” Mid-term presentation August 19th, 2008.

Detection, Tracking and Recognition in Video Sequences Supervised By: Dr. Ofer Hadar Mr. Uri Perets Project By: Sonia KanOra Gendler Ben-Gurion University.

Automatic Video Shot Detection from MPEG Bit Stream

An enhanced estimation: motion and rotation estimation

Presentation transcript:

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 2: Video Processing

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 2 Today’s Schedule Introduction to Design Project 2 Check in Digital Camera and Pocket PC Check out PC camera and Pocket PC

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 3 Outline of Design Project 2 Part I : Video Capturing by PC Camera Part II : Motion Estimation and Compensation Part III: MPEG Video Part IV: Detect Scene Change in Video Part V: Mobile Computing and Pocket PC Programming Bonus Part I : MPEG-7 Visual Descriptor Bonus Part II: Video Conference

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 4 Part I. Video Capturing by PC Camera

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 5 Pat II. Motion Estimation and Compensation Inter-Frame Encoder

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 6 ME: Exhaustive Block Matching

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 7 ME: Example Reference Frame Current Frame

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 8 Exhaustive Block Matching (cont.1) Demo: on_Estimation_v3.exe on_Estimation_v3.exe on_estimation_3step.exe on_estimation_3step.exe

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 9 Exhaustive Block Matching (cont.2) Reference Frame Current FrameMotion Vectors

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 10 Motion Compensation Estimated frameResidual

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 11 3-step approach

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 12 Part III.MPEG Video MPEG-1 Video Use mpgwrite.m and mpgread.m. Tradeoff between bit rate and quality

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 13 Part IV. Detect Scene Change Cut Scene Change Dissolve Scene Change Wipe Scene Change Multi-scene Change Design scene change detector Hint: Use statistical characteristics for each frame

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 14 Part V. Pocket PC Programming Apply what you learned from previous parts and design a simple application related to digital video processing by Microsoft eMbedded Tools for Pocket PC.

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 15 Bonus Part I. MPEG-7 Visual Descriptor MPEG-7 Texture Descriptor t/M7TextureDemo.html t/M7TextureDemo.html MPEG-7 Shape Descriptor mo.html mo.html

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 16 MPEG-7 Texture Descriptor

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 17 MPEG-7 Shape Descriptor

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 18 Bonus Part II. Video Conference Experience video conferencing using Microsoft NetMeeting Two scenarios: video conferencing with different image modes video conferencing with different available bandwidths Do this part at home

02/17/05ENEE408G Spring 2005 Multimedia Signal Processing 19 PC Camera / Digital Camera Digital Camera and Pocket PC Check In PC Camera and Pocket PC Check Out