The Victorian Meme Machine: Remixing the Nineteenth-Century Archive.

In summer 2014 Bob Nicholson began working with the British Library Labs on a new project that aims to find and revive Victorian jokes. It began with two key aims: to build a high-quality, open access, research database of one million Victorian jokes; and to share these jokes with modern audiences in creative new ways, including the use of images, videos, performances, and social media. This article explains the rationale behind the project and outlines the work done so far. Part one explains why Victorian jokes are worthy of academic attention and demonstrates how the most laboured of puns can reveal new insights into nineteenth-century culture and society. Part two explores the relationship between Victorian jokes and existing digital archives and considers the pros and cons of liberating them from the restrictions imposed by these collections. Finally, part three documents the progress made so far. In particular, it reflects on the development of the ‘Mechanical Comedian’ tool and attempts to release one hundred ‘remixed’ versions of Victorian jokes onto social media.<strong></strong

Comicmart: Digital Comic Aggregator Platform With Monetization Schemes For Local Artists

This paper proposes ComicMart, a system that provides digital alternative to comic publisher who usually sells their work in physical form. Methodology used in the study was survey through convenience sampling. Requirements elicitation was conducted using surveys. Questionnaires were distributed to comic hobbyists and enthusiasts to collect feedback and opinion on the current implementation and proposed design. The study done shows that out of 53 respondents, the perceived rate of users who thought that printed comic books are getting expensive was 77.3%. A design of ComicMart was then proposed from the respondents’ feedback. Finally, an implementation prototype was developed. Most of the comic enthusiasts believed that comic books in the form of print media is getting too costly and not affordable. However, by selling the digital version of the comics, the price can be reduced, and people could afford them to buy them. The proposed project is supposed to replace physical comic bookstores with digital distribution medium. Freelancer artists who wish to promote themselves also can upload their works to the website and make it free-to-read for everyone

The Wiltshire Wills Feasibility Study

The Wiltshire and Swindon Record Office has nearly ninety thousand wills in its care. These records are neither adequately catalogued nor secured against loss by facsimile microfilm copies. With support from the Heritage Lottery Fund the Record Office has begun to produce suitable finding aids for the material. Beginning with this feasibility study the Record Office is developing a strategy to ensure the that facsimiles to protect the collection against risk of loss or damage and to improve public access are created.&lt;p&gt;&lt;/p&gt; This feasibility study explores the different methodologies that can be used to assist the preservation and conservation of the collection and improve public access to it. The study aims to produce a strategy that will enable the Record Office to create digital facsimiles of the Wills in its care for access purposes and to also create preservation quality microfilms. The strategy aims to seek the most cost effective and time efficient approach to the problem and identifies ways to optimise the processes by drawing on the experience of other similar projects. This report provides a set of guidelines and recommendations to ensure the best use of the resources available for to provide the most robust preservation strategy and to ensure that future access to the Wills as an information resource can be flexible, both local and remote, and sustainable

Segmentation et indexation d'objets complexes dans les images de bandes dessinées

In this thesis, we review, highlight and illustrate the challenges related to comic book image analysis in order to give to the reader a good overview about the last research progress in this field and the current issues. We propose three different approaches for comic book image analysis that are composed by several processing. The first approach is called "sequential'' because the image content is described in an intuitive way, from simple to complex elements using previously extracted elements to guide further processing. Simple elements such as panel text and balloon are extracted first, followed by the balloon tail and then the comic character position in the panel. The second approach addresses independent information extraction to recover the main drawback of the first approach : error propagation. This second method is called “independent” because it is composed by several specific extractors for each elements of the image without any dependence between them. Extra processing such as balloon type classification and text recognition are also covered. The third approach introduces a knowledge-driven and scalable system of comics image understanding. This system called “expert system” is composed by an inference engine and two models, one for comics domain and another one for image processing, stored in an ontology. This expert system combines the benefits of the two first approaches and enables high level semantic description such as the reading order of panels and text, the relations between the speech balloons and their speakers and the comic character identification.Dans ce manuscrit de thèse, nous détaillons et illustrons les différents défis scientifiques liés à l'analyse automatique d'images de bandes dessinées, de manière à donner au lecteur tous les éléments concernant les dernières avancées scientifiques en la matière ainsi que les verrous scientifiques actuels. Nous proposons trois approches pour l'analyse d'image de bandes dessinées. La première approche est dite "séquentielle'' car le contenu de l'image est décrit progressivement et de manière intuitive. Dans cette approche, les extractions se succèdent, en commençant par les plus simples comme les cases, le texte et les bulles qui servent ensuite à guider l'extraction d'éléments plus complexes tels que la queue des bulles et les personnages au sein des cases. La seconde approche propose des extractions indépendantes les unes des autres de manière à éviter la propagation d'erreur due aux traitements successifs. D'autres éléments tels que la classification du type de bulle et la reconnaissance de texte y sont aussi abordés. La troisième approche introduit un système fondé sur une base de connaissance a priori du contenu des images de bandes dessinées. Ce système permet de construire une description sémantique de l'image, dirigée par les modèles de connaissances. Il combine les avantages des deux approches précédentes et permet une description sémantique de haut niveau pouvant inclure des informations telles que l'ordre de lecture, la sémantique des bulles, les relations entre les bulles et leurs locuteurs ainsi que les interactions entre les personnages

Where no fandom has gone before: Exploring the development of fandom through Star Trek fanzines

Where No Fandom Has Gone Before: Exploring the Development of Fandom Through Star Trek Fanzines is a digital archive and exhibit project centered around a collection of forty earlyStar Trek fanzines. The website serves two functions: primarily to archive these fanzines, and secondarily to showcase their viability as research tools which can provide valuable data. Through the use of several digital exhibits, this project supports the argument that fanzines had an integral role in the development of early Star Trek fandom and served as a primary means of communication between fans. The website project can be found at: https://guerrijd.wixsite.com/wherenofandomhasgon

An ontology-based framework for the automated analysis and interpretation of comic books' images

International audienceSince the beginning of the twenty-first century, the cultural industry has been through a massive and historical mutation induced by the rise of digital technologies. The comic books industry keeps looking for the right solution and has not yet produced anything as convincing as the music or movie have. A lot of energy has been spent to transfer printed material to digital supports so far. The specificities of those supports are not always exploited at the best of their capabilities, while they could potentially be used to create new reading conventions. In spite of the needs induced by the large amount of data created since the beginning of the comics history, content indexing has been left behind. It is indeed quite a challenge to index such a composition of textual and visual information. While a growing number of researchers are working on comic books' image analysis from a low-level point of view, only a few are tackling the issue of representing the content at a high semantic level. We propose in this article a framework to handle the content of a comic book, to support the automatic extraction of its visual components and to formalize the semantic of the domain's codes. We tested our framework over two applications: 1) the unsupervised content discovery of comic books' images, 2) its capabilities to handle complex layouts and to produce a respectful browsing experience to the digital comics reader