1/11/2023 0 Comments Nodebox processing![]() ![]() This is common in statistics, as is well known. The best approach to image-mining is to work with sample data, meaning one can select part of the information for analysis. His work is optimal to analyze given that he is credited for being a methodical filmmaker who is keen on detail. ![]() In this occasion, as an example, I will analyze The Three Colors Trilogy: Blue, White, Red, by Krzysztof Kie?lowski. At such point, we can implement big data analytics to be able to view trends that may not be possible to perceive with careful visual inspection. There is a limitation to this process when we reach thousands of images. Once we understand how this takes place, we can then implement this basic principle to a series of images. The basic approach to image analysis begins with the examination of a single image. I will go over text-mining in another occasion For now, let us engage directly with image analysis. Image-mining is quite similiar to text-mining when approaching both with the purpose to evaluate how meaning is constructed based on certains types of patterns however, because we understand images by comparing elements within a composition, and texts by sequential organization known as sentences and paragraphs, the way each of these forms is analyzed is different. In all of these cases the methods for evaluating the construction of meaning relies in the analysis of particular patterns that may be at play in the body of information. This approach is applicable to any large amount of images, which could consist of a series of photographs in an archive, a large amount of digital images in a database, such as Flickr, or a video or film. The basic principle of image-mining is to be able to analyze large amounts of data (in this case a series of images) and be able to evaluate how they are organized with the aim to understand their differences and similarities. However, my long term interest on the color trilogy by Krzysztof Kie?lowski may find its way to one of my essays in the future. For this reason, the following content is not an in-depth analysis of the three films. The presentation was designed to provide a clear basic example of how to perform comparative image analysis. You can download the tutorials of the workshop: The following are the notes of my presentation at the Art and Design Research Incubator (ADRI), Penn State, which took place on October 17, 2017. (Image 1): Cover art for The Three Colors Trilogy: Blue, White, Red, by Krzysztof Kie?lowski. In the mean time I share a list of resources that will be of use to those attending the workshop as well as anyone part of the online community who may be interested in data visualization. As before, I will be posting my presentation notes here on Remix Data soon after the presentation takes place. For my third workshop at ADRI On October 24, I will be discussing some of my current research along with text mining methods. ![]()
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