Data: 27/09/2004 (segunda-feira)
Palestrante: Thiago Teixeira Santos
Título: Algorithms for Video Segmentation
Sala: 241, bloco A
Horário: 17h30
Observação: Seminário apresentado em Inglês
Overview:
This is the first part of a tutorial that will be presented
at LA-Web/Webmedia 2004 [1].
[1] http://www.icmc.usp.br/laweb/webmedia/
We will introduce fundamental image processing algorithms for video
segmentation. One of the major problems with current video databases
is the lack of automatic tools for indexing and retrieval of video
information. Although natural speech recognition and closed caption
can be used in some applications, these are not always available and
the video must be manually annotated to allow the search for general
descriptions of scenes. This tutorial is targeted to graduate students
and professionals interested in video databases with basic computer
programming skills. The tutorial starts with an introduction of the
basic tools for image acquisition and processing, with code examples
in Intel Open Computer Vision Library (OpenCV).
This first part includes:
- Introduction
* Description of the objectives
* Overview of the tutorial
* Motivation and definition of the problem
- Video indexing
- Video retrieval
- Video visualization
- Image Processing techniques
* Image processing libraries: OpenCV
* Binary images
* Grey Level Images
* Color Images
* Color Histograms
* Edge detection
- Introduction to Shot Boundary Detection
* Video granularity
* Shots
* Shot transitions
The tutorial handout can be downloaded from
http://latin.ime.usp.br/tts/handout-1x2.pdf
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