3,529 research outputs found

    A survey of comics research in computer science

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    Graphical novels such as comics and mangas are well known all over the world. The digital transition started to change the way people are reading comics, more and more on smartphones and tablets and less and less on paper. In the recent years, a wide variety of research about comics has been proposed and might change the way comics are created, distributed and read in future years. Early work focuses on low level document image analysis: indeed comic books are complex, they contains text, drawings, balloon, panels, onomatopoeia, etc. Different fields of computer science covered research about user interaction and content generation such as multimedia, artificial intelligence, human-computer interaction, etc. with different sets of values. We propose in this paper to review the previous research about comics in computer science, to state what have been done and to give some insights about the main outlooks

    Confidence criterion for speech balloon segmentation

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    International audienceThis short paper investigates how to improve the confidence of speech balloon segmentation algorithms from comic book images. It comes from the need of precise indications about the quality of automatic processing in order to accept or not each segmented regions as a valid result, according to the application and without requiring any ground truth. We discuss several applications like result quality assessment for companies and automatic ground truth creation from high confidence results to train machine learning based systems.We present some ideas to combine several domain knowledge information (e.g. shape, text, etc.) and produce an improved confidence criterion

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

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    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

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

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    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

    Textbook assessment and religious education efforts: how to achieve religious moderation in schools?

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    This article delineates the process of evaluating the substance of religious education literature affiliated with Islam, Catholicism, Protestantism, Hinduism, and Buddhism. Moderation is regarded as a fundamental component of a pluralistic and multicultural society. Beyond that, its primary objective is to prevent division within the nation and address the issue of intolerance in textbooks. By employing a qualitative-descriptive-exploratory conceptual framework and conducting focus group discussions (FGDs) with multiple experts, this writing method is informed by meticulous observation and reading of religious education texts spanning grades kindergarten to high school. This research demonstrates that religious textbooks continue to include material that has the potential to incite violence, prejudice, and hostility. Furthermore, this analysis establishes textbook evaluation as a "bridge" to achieving religious moderation in madrasas and institutions. The independent assessment team and the book evaluation committee were both interviewed. This study emphasises the significance of providing authors and publishers with writing guidelines, training, and mentoring to ensure that the quality of textbooks produced aligns with the content embraced by the nation's norms, values, and culture. Artikel ini menguraikan proses penilaian substansi literatur pendidikan agama yang berafiliasi dengan Islam, Katolik, Protestan, Hindu, dan Budha. Moderasi dianggap sebagai komponen mendasar dari masyarakat pluralistik dan multikultural. Selain itu, tujuan utamanya adalah untuk mencegah perpecahan dalam bangsa dan mengatasi masalah intoleransi dalam buku pelajaran. Dengan menggunakan kerangka konseptual kualitatif-deskriptif-eksploratif dan melakukan diskusi kelompok terfokus (FGD) dengan berbagai ahli, metode penulisan ini didasarkan pada observasi dan pembacaan yang cermat terhadap teks-teks pendidikan agama mulai dari tingkat taman kanak-kanak hingga sekolah menengah atas. Penelitian ini menunjukkan bahwa buku teks agama masih memuat materi yang berpotensi memicu kekerasan, prasangka, dan permusuhan. Lebih lanjut, analisis ini menjadikan evaluasi buku teks sebagai “jembatan” pencapaian moderasi beragama di madrasah dan lembaga. Tim penilai independen dan panitia evaluasi buku sama-sama diwawancarai. Studi ini menekankan pentingnya memberikan pedoman penulisan, pelatihan, dan pendampingan kepada penulis dan penerbit untuk memastikan bahwa kualitas buku teks yang dihasilkan sejalan dengan konten yang dianut oleh norma, nilai, dan budaya bangsa

    William Shakespeare as a Purveyor of Re-Productions: Understanding Shakespeare’s Plays as Profitable Products

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    This project, “Recasting William Shakespeare in The Business of Playwriting,” works to reinvigorate the value gained by reading Shakespeare by: Beginning with espousing the importance of reading Shakespeare as a practical businessman first, instead of the mythological literary genius that men decades and now centuries after Shakespeare marketed and herald him as. Although this is not the primary focus of this paper, it is an important framework that begins to enable us to shift our presumptions of the canonical text, Romeo and Juliet . The next section sets the backdrop, i.e. the environment, in which Shakespeare used an emerging profession to recreate literature and runs through the “ancestry” of the star-crossed lovers archetype. Finally, the main section of this project identifies and explicates particular loci where Shakespeare transformed the original text in order to target and appeal to the audience of the times; in particular to Romeo & Juliet , this includes that of the creation of suspense, tragedy in relation to comedy, and an interrogation of love at first sight. This project concludes with a quick review of other proof of audience recognition within Shakespeare’s corpus that can lead to further investigations and close readings of other texts, Shakespearean or not, for financial motivations. All of which will help readers of Shakespeare come away with a greater business appreciation of his work and possibly force readers to think about the economic constraints and incentives shaping literature
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