2021
Autores
Ferreira, JS; Restivo, A; Ferreira, HS;
Publicação
VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 5: VISAPP
Abstract
Designers often use physical hand-drawn mockups to convey their ideas to stakeholders. Unfortunately, these sketches do not depict the exact final look and feel of web pages, and communication errors will often occur, resulting in prototypes that do not reflect the stakeholder's vision. Multiple suggestions exist to tackle this problem, mainly in the translation of visual mockups to prototypes. Some authors propose end-to-end solutions by directly generating the final code from a single (black-box) Deep Neural Network. Others propose the use of object detectors, providing more control over the acquired elements but missing out on the mockup's layout. Our approach provides a real-time solution that explores: (1) how to achieve a large variety of sketches that would look indistinguishable from something a human would draw, (2) a pipeline that clearly separates the different responsibilities of extracting and constructing the hierarchical structure of a web mockup, (3) a methodology to segment and extract containers from mockups, (4) the usage of in-sketch annotations to provide more flexibility and control over the generated artifacts, and (5) an assessment of the synthetic dataset impact in the ability to recognize diagrams actually drawn by humans. We start by presenting an algorithm that is capable of generating synthetic mockups. We trained our model (N=8400, Epochs=400) and subsequently fine-tuned it (N=74, Epochs=100) using real human-made diagrams. We accomplished a mAP of 95.37%, with 90% of the tests taking less than 430ms on modest commodity hardware (approximate to 2.3fps). We further provide an ablation study with well-known object detectors to evaluate the synthetic dataset in isolation, showing that the generator achieves a mAP score of 95%, approximate to 1.5 x higher than training using hand-drawn mockups alone.
2021
Autores
Vaz, R; Freitas, D; Coelho, A;
Publicação
International Journal of the Inclusive Museum
Abstract
Although new, renewed, and innovative museum experiences are constantly provided to the sighted public, millions of visually impaired persons worldwide are still deprived of access to enjoying and engaging with collections. This research aims to investigate the limitations of blind or partially sighted persons in visiting a museum nowadays. Semistructured interviews with seventy-two visually impaired Portuguese individuals revealed reasons and factors that contribute to positive and negative visiting experiences, and the assessment of sixteen accessibility resources demonstrates their frequency and potential usefulness in museum visits. It concludes that the actual limited experiences in museums could be surpassed and enhanced by moving beyond accessibility, embracing inclusion, and focusing on the creation of multimodal and multisensory approaches to promote exceptional, memorable, and exciting visiting opportunities for all.
2021
Autores
Carvalho, P; Pereira, A; Viana, P;
Publicação
APPLIED SCIENCES-BASEL
Abstract
Advertisements are often inserted in multimedia content, and this is particularly relevant in TV broadcasting as they have a key financial role. In this context, the flexible and efficient processing of TV content to identify advertisement segments is highly desirable as it can benefit different actors, including the broadcaster, the contracting company, and the end user. In this context, detecting the presence of the channel logo has been seen in the state-of-the-art as a good indicator. However, the difficulty of this challenging process increases as less prior data is available to help reduce uncertainty. As a result, the literature proposals that achieve the best results typically rely on prior knowledge or pre-existent databases. This paper proposes a flexible method for processing TV broadcasting content aiming at detecting channel logos, and consequently advertising segments, without using prior data about the channel or content. The final goal is to enable stream segmentation identifying advertisement slices. The proposed method was assessed over available state-of-the-art datasets as well as additional and more challenging stream captures. Results show that the proposed method surpasses the state-of-the-art.
2021
Autores
Morais, EP; Cunha, CR; Santos, A;
Publicação
Smart Innovation, Systems and Technologies
Abstract
Digital marketing is gaining predominance in marketing strategies across the globe. Digitization is becoming more and more present in business, not just changes in consumer behavior, but the adoption of new technologies, tools, and applications is highly disruptive, with immediate impact on the business of all companies. The common link between digital marketing definitions is the use of tools, namely online tools. One of the biggest changes in human interaction is the recent proliferation of online social networks. Rapid growth of Web-based platforms that facilitate online social behavior has significantly modified the nature of human activities, habitats, and interactions. Real-world social relationships have been migrated to the virtual world, resulting in online communities that bring people together from across the globe. This study aims to identify and describe the various digital marketing tools and which of these can be used to increase the SMEs competitiveness. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
2021
Autores
Gonçalves, R; Ferreira, I; Godina, R; Pinto, P; Pinto, A;
Publicação
Blockchain and Applications - 3rd International Congress, BLOCKCHAIN 2021, Salamanca, Spain, 6-8 October, 2021
Abstract
2021
Autores
Barbosa, S; Camilo, M; Almeida, C; Amaral, G; Dias, N; Ferreira, A; Silva, E;
Publicação
Abstract
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