'Video sequence' diaporamas de présentation

Ubiquitous Home: Retrieval of Experiences in a Home Environment

Ubiquitous Home: Retrieval of Experiences in a Home Environment. Gamhewage C. DE SILVA Toshihiko YAMASAKI Kiyoharu AIZAWA. Outline. Introduction Ubiquitous Home Sensors and Data Acquisition Data Collection Retrieval Footstep segmentation, Video and Audio Handover

1.05k views • 65 slides

Multi-view stereo

Multi-view stereo. Many slides adapted from S. Seitz. What is stereo vision?. Generic problem formulation: given several images of the same object or scene, compute a representation of its 3D shape. What is stereo vision?.

1.19k views • 59 slides

Generative Models for Image Understanding

Generative Models for Image Understanding. Nebojsa Jojic and Thomas Huang Beckman Institute and ECE Dept. University of Illinois. Problem: Summarization of High Dimensional Data. Pattern Analysis: For several classes c=1,..,C of the data, define probability distribution functions p(x| c)

643 views • 56 slides

VIDEO COMPRESSION FUNDAMENTALS, part 2

VIDEO COMPRESSION FUNDAMENTALS, part 2. Pamela C. Cosman. Extra flavors and refinements. Many different variations/improvements possible for motion compensation Increased accuracy of motion vectors Unrestricted motion vectors Multiple frame prediction Variable sized blocks

721 views • 53 slides

Shape and Dynamics in Human Movement Analysis

Shape and Dynamics in Human Movement Analysis. Ashok Veeraraghavan. Outline. Motivation What do we want to do? Shape Shape based methods for recognition Dynamics based methods for recognition Results Current Work. Motivation. Human Perception Shape or Dynamics (or is it Both??).

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477 views • 38 slides

Estimating 3D Facial Pose in Video with Just Three Points

460 views • 33 slides

SUREILLANCE IN THE DEPARTMENT THROUGH IMAGE PROCESSING F.Y.P. PRESENTATION BY

SUREILLANCE IN THE DEPARTMENT THROUGH IMAGE PROCESSING F.Y.P. PRESENTATION BY AHMAD IJAZ & UFUK INCE SUPERVISOR: ASSOC. PROF. ERHAN INCE. OUTLINE.

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Creating an Automated Blood Vessel Diameter Tracking Tool

Creating an Automated Blood Vessel Diameter Tracking Tool. Peter McLachlan Department of Medical Biophysics The University of Western Ontario Supervisor: Dr. Graham Fraser Co-supervisor: Dr. Dwayne Jackson. Introduction. Blood flow is modulated to meet metabolic demands

485 views • 31 slides

???????? ????????? ??? ??????????? Video -???????? ????? ????????? ??? ??????? ?????????????

???????? ????????? ??? ??????????? Video -???????? ????? ????????? ??? ??????? ?????????????. ?????????? ?????????. Video Quality of Service (QoS) Requirements. Ideally Quality of video information should not be limited by the coding system or the transmission medium

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Frequency Domain Characterization of Signals

Frequency Domain Characterization of Signals . Prof. Hongang Wang. Signal Representation. Signal? Time-domain description Waveform Periodic vs. non-periodic signals Frequency-domain description Periodic signals Sinusoidal signals Fourier series for periodic signals. Signal?.

570 views • 22 slides

Toward Fast Computation of Dense Image Correspondence on the GPU

Toward Fast Computation of Dense Image Correspondence on the GPU. Mark Duchaineau, Jonathan D. Cohen, Sheila Vaidya Lawrence Livermore National Laboratory High Performance Embedded Computing Workshop 18-20 September, 2007.

373 views • 21 slides

Session Objective To understand how to set high quality learning objectives and learning outcomes

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Adaptive Image and Video Retargeting Technique Based on Fourier Analysis

Adaptive Image and Video Retargeting Technique Based on Fourier Analysis. Jun- Seong Kim, Jin-Hwan Kim, and Chang-Su Kim School of Electrical Engineering, Korea University, Seoul, Korea Reporter: Chia-Hao Hsieh Date: 20100316. Outline. Introduction Methods Simulation results.

246 views • 15 slides

In collaboration with: Computer Vision Group Indexing Video Sequences

In collaboration with: Computer Vision Group Indexing Video Sequences. Low level features in video sequences. Goal: Indexing Video repositories based on the low level features. Color (Red, Green, Yellow, Blue) Orientation (0 degree, 45 deg, 90 deg, 135 deg) Intensity (High, Low)

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P2P Layered Streaming for Heterogeneous Networks in PPSP K. Wu, Z. Lei, D. Chiu James Zhibin Lei

P2P Layered Streaming for Heterogeneous Networks in PPSP K. Wu, Z. Lei, D. Chiu James Zhibin Lei 17/03/2010. Introduction. Single layer video streaming. Scenario PCs, set-top boxes and mobile devices may all need to access and provide service for the same content. Problems

221 views • 10 slides

Action Recognition

Action Recognition. Karthik Prabhakar UCF REU 2008, Week 3 Report June 13, 2008. Proposed Model: Overview. SVM Classification. Results. 1) Input. 2) Motion Descriptor. Similar to Efros et. al. [1]. 3) 3D log-polar Binning. Motivated by Belongie et. al. [2]. Compute histogram.

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Action Recognition

190 views • 6 slides

Week 8

Week 8. Students: Meera Hahn and Si Chen Mentor: Afshin Deghan. Cifar Network. 3 convolutional layer network Trained Caffe classifier using this network and our training images from the first frames of the video sequence

161 views • 5 slides