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Proceedings Paper

Visualizing artifacts, meta-information, and quality parameters of image sequences
Author(s): Peter Uray; Heimo Mueller-Seelich; Walter Plaschzug; Werner Haas
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Paper Abstract

This paper presents visualization methods for film quality parameters which are used in the course of semi-automatic film resaturation. A central part is navigation in the time context by visualizing the temporal film structure. So-called 'time sections' take characteristic features (e.g. one pixel line or one column, motion information) from each image and map them to a column of a time section image. Typical dimensions for a time section image for a 100 minute movie are 500 by 150,000 pixels, where each image of the original sequence is represented by one column (500 by 1) of the time section image. As the width of such an image is too large for displaying it in one piece on a computer monitor, a non-linear time scale is introduced. This allows for displaying the content of an interesting shot in full detail while other shot are shown in a compressed view. The time line of a time section can be regarded as an array of 'temporal hyperlinks' modeling the temporal structure of a movie. The smallest temporal entity of annotation is given by shots (a continuous sequence of images) which can be combined hierarchically to scenes, acts, etc. or grouped by certain characteristics (e.g. artefact class). In addition, special quality parameters can be assigned to temporal entities such as shots, scenes and groups. These parameters can be visualized by icons that indicate quality on the non-linear timeline. Application examples for quality icons of each defect class are given, and the visual quality representation used for the restoration of a full length movie is presented.

Paper Details

Date Published: 14 May 1998
PDF: 8 pages
Proc. SPIE 3298, Visual Data Exploration and Analysis V, (14 May 1998); doi: 10.1117/12.309537
Show Author Affiliations
Peter Uray, Joanneum Research (Austria)
Heimo Mueller-Seelich, Joanneum Research (Austria)
Walter Plaschzug, Joanneum Research (Austria)
Werner Haas, Joanneum Research (Austria)


Published in SPIE Proceedings Vol. 3298:
Visual Data Exploration and Analysis V
Robert F. Erbacher; Alex Pang, Editor(s)

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