Subjects: Computer Science >> Computer Application Technology submitted time 2022-07-14
Abstract： <p> Objective Newspapers have always been an important carrier of knowledge dissemination. This method is to achieve economic and efficient newspaper typesetting.</p><p> Methods First,we infer the style of newspaper layout according to the historical excellent layouts training probability model, and combine the fixed layout constraints and user constraints to ensure that the style is effective. At the same time,we build a quantitative method of aesthetic design principles to further realize style fine-tuning.</p><p> Results Through qualitative and quantitative evaluation, it shows that the style parameters inferred from the model in this paper are accurate and meet the needs of users.</p><p> Limitations The method only supports the automatic generation of single page electronic newspapers temporarily. However, newspaper layout is mostly composed of multiple pages, so the future work needs to page the newspaper content.</p><p> Conclusions This method can automatically generate newspapers that meet the requirements of visual aesthetics, hierarchy and readability.</p>
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Computer Application Technology submitted time 2022-07-13
Abstract： Newspaper pages have a reasonable and beautiful arrangement of news, which allows readers to quickly obtain valuable information and gain pleasure.This is the feature of newspaper in the mass media. However, for typesetters, generating an intuitive, readable and beautiful newspaper layout is a time-consuming manual task. Combining Bayesian network and constrained programming technology, this paper proposed an automatic generation method of digital newspaper layout. Firstly, based on the historical layout and expert experience, we learned and inferred the structure and key attributes of the digital newspaper layout, so that the newly generated layout has a history style; Then a mixed integer constrained programming model was proposed by the inference results, which significantly reduces the solution space of the model and improves the layout quality. Our inference model provides a variety of available candidate structures and the programming model ensures that the news in the newspaper layout does not overlap, does not overflow, and has good alignment performance. To train and validate the model, We construct and expose a Chinese newspaper layout data set. The data set is composed of digital newspaper page pictures and corresponding news content, with detailed news attribute tags. Finally, a user study is carried out, and the results show the effectiveness of our method.
Peer Review Status:Awaiting Review
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