Quick guide to the experiments
About the project
This document is a help file for those who want to navigate the wiki and test the probes. As the nature of the work described on this website is very much "in progress", some tips may help understanding how to approach certain pages. As an entry point to the context of the project, we suggest reading the homepage and the following three pages:
The site contains a series of probes made with the material of the SISV archive. Most of them are directly accessible through the menu at the top of the page.
- According to the information given in the archive index, The white binder, the photo archive of the SISV includes more than 25,000 negatives with their respective contact sheets. This probe is an attempt to visualize what 25000 means as a quantity and the proportion of images already digitized in the archive. Read more → Imagine 25,000 images
- Download the pdf: http://sissv.activearchives.org/25000/25000.pdf
The filing cabinet of the SISV contains the negatives, contact sheets and enlargements of the photographs of the institute. Additionally one can find the documents relative to the controversy between the photographer Franceschi and the institute, maps, notebooks and various documents relative to the institute.
- Animated filing cabinet
- Anatomy of a filing cabinet
- The travel of a photograph through multiple indexes
- The white binder
This probe is an attempt to use contours as a means to engage with the images. Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity.
- Tracing the contours
- Dynamic (algorithmic) arabesque
- An ordering of the contours by size: Comparative Contours
An "image histogram" is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance. Histogram values in these probes are used as a means to visualize clusters of images.
- Histograms in the distance
- How to use the histogram interface?
- Histogram interface colored version
- Histogram interface bookmark version
The SIFT algorithm relates to object recognition and more particularly to identifying scale invariant features in an image and use of same for locating an object in an image. What is the intersection between these features and human perception?