Browsing by Author "Carvalho, Pedro"
Now showing 1 - 8 of 8
Results Per Page
Sort Options
- Exploring the research agenda in literary tourismPublication . Liberato, Pedro; Liberato, Dália; Sousa, Bruno; Costa, Adriano; Pereira, Carina; Rodrigues, Cristina; Malheiro, Alexandra; Esteves, Elsa; Carvalho, Pedro
- From a Visual Scene to a Virtual Representation: A Cross-Domain ReviewPublication . Pereira, Américo; Carvalho, Pedro; Pereira, Nuno; Viana, Paula; Côrte-Real, LuísThe widespread use of smartphones and other low-cost equipment as recording devices, the massive growth in bandwidth, and the ever-growing demand for new applications with enhanced capabilities, made visual data a must in several scenarios, including surveillance, sports, retail, entertainment, and intelligent vehicles. Despite significant advances in analyzing and extracting data from images and video, there is a lack of solutions able to analyze and semantically describe the information in the visual scene so that it can be efficiently used and repurposed. Scientific contributions have focused on individual aspects or addressing specific problems and application areas, and no cross-domain solution is available to implement a complete system that enables information passing between cross-cutting algorithms. This paper analyses the problem from an end-to-end perspective, i.e., from the visual scene analysis to the representation of information in a virtual environment, including how the extracted data can be described and stored. A simple processing pipeline is introduced to set up a structure for discussing challenges and opportunities in different steps of the entire process, allowing to identify current gaps in the literature. The work reviews various technologies specifically from the perspective of their applicability to an endto- end pipeline for scene analysis and synthesis, along with an extensive analysis of datasets for relevant tasks.
- Literary tourism in Northern Portugal: an exploratory perspectivePublication . Sousa, Bruno; Liberato, Pedro; Liberato, Dália; Pereira, Carina; Rodrigues, Cristina; Costa, Adriano; Malheiro, Alexandra; Esteves, Elsa; Carvalho, Pedro
- Literary tourism in Northern Portugal: proposals based on literary routesPublication . Liberato, Dália; Liberato, Pedro; Sousa, Bruno; Pereira, Carina; Rodrigues, Cristina; Costa, Adriano; Malheiro, Alexandra; Esteves, Elsa; Carvalho, Pedro
- Literary tourism: literature developments and research lines from 2015 to 2020Publication . Rodrigues, Cristina; Liberato, Dália; Esteves, Elsa; Sousa, Bruno; Liberato, Pedro; Costa, Adriano; Pereira, Carina; Malheiro, Maria Alexandra; Carvalho, PedroAlthough literary tourism is still an understudied field, the beneficial relationship between tourism and literature is becoming very clear. Literary tourism involves the literary heritage of places, namely visits to sites related to literary works and the lives of writers. There are already some empirical studies that demonstrate the importance of this type of tourism as a guarantee of cultural enrichment of destinations and sustainable tourism practices. This tourism has begun to be explored in the development of tourism products and experiences, such as itineraries, or infrastructures linked to literary heritage that increase the attractiveness and competitiveness of destinations. This study analyzes literary tourism as a field of research and explores its state of the art through a bibliometric review that includes content analysis. For this purpose, articles published in the period 2015–2020, identified in the Web of Science database, were analyzed. The results identify the main topics of these publications and their temporal analysis, the research methods and techniques applied, the case studies related to authors and works, also the geographies studied and some important insights on literary tourism that address different dimensions. Overall, this study provides a rich understanding of the contemporary study of literary tourism, in a particularly rich period in terms of scientific advances in this area, still under-expressed.
- Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still ContentPublication . Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Vilaça, Luis; Teixeira, Inês N.; Costa, Tiago; Jonker, PieterApplying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true that ML is already popular for content creation, but the progress achieved so far addresses essentially textual content or the identification and selection of specific types of content. A wealth of possibilities are yet to be explored by bringing the use of ML into the multimedia creative process, allowing the knowledge inferred by the former to influence automatically how new multimedia content is created. The work presented in this article provides contributions in three distinct ways towards this goal: firstly, it proposes a methodology to re-train popular neural network models in identifying new thematic concepts in static visual content and attaching meaningful annotations to the detected regions of interest; secondly, it presents varied visual digital effects and corresponding tools that can be automatically called upon to apply such effects in a previously analyzed photo; thirdly, it defines a complete automated creative workflow, from the acquisition of a photograph and corresponding contextual data, through the ML region-based annotation, to the automatic application of digital effects and generation of a semantically aware multimedia story driven by the previously derived situational and visual contextual data. Additionally, it presents a variant of this automated workflow by offering to the user the possibility of manipulating the automatic annotations in an assisted manner. The final aim is to transform a static digital photo into a short video clip, taking into account the information acquired. The final result strongly contrasts with current standard approaches of creating random movements, by implementing an intelligent content- and context-aware video.
- A Review of Recent Advances and Challenges in Grocery Label Detection and RecognitionPublication . Guimarães, Vânia; Nascimento, Jéssica; Viana, Paula; Carvalho, PedroWhen compared with traditional local shops where the customer has a personalised service, in large retail departments, the client has to make his purchase decisions independently, mostly supported by the information available in the package. Additionally, people are becoming more aware of the importance of the food ingredients and demanding about the type of products they buy and the information provided in the package, despite it often being hard to interpret. Big shops such as supermarkets have also introduced important challenges for the retailer due to the large number of different products in the store, heterogeneous affluence and the daily needs of item repositioning. In this scenario, the automatic detection and recognition of products on the shelves or off the shelves has gained increased interest as the application of these technologies may improve the shopping experience through self-assisted shopping apps and autonomous shopping, or even benefit stock management with real-time inventory, automatic shelf monitoring and product tracking. These solutions can also have an important impact on customers with visual impairments. Despite recent developments in computer vision, automatic grocery product recognition is still very challenging, with most works focusing on the detection or recognition of a small number of products, often under controlled conditions. This paper discusses the challenges related to this problem and presents a review of proposed methods for retail product label processing, with a special focus on assisted analysis for customer support, including for the visually impaired. Moreover, it details the public datasets used in this topic and identifies their limitations, and discusses future research directions of related fields.
- Stereo vision system for human motion analysis in a rehabilitation contextPublication . Matos, Ana Clara; Terroso, Teresa Azevedo; Corte-Real, Luis; Carvalho, PedroThe present demographic trends point to an increase in aged population and chronic diseases which symptoms can be alleviated through rehabilitation. The applicability of passive 3D reconstruction for motion tracking in a rehabilitation context was explored using a stereo camera. The camera was used to acquire depth and color information from which the 3D position of predefined joints was recovered based on: kinematic relationships, anthropometrically feasible lengths and temporal consistency. Finally, a set of quantitative measures were extracted to evaluate the performed rehabilitation exercises. Validation study using data provided by a marker based as ground-truth revealed that our proposal achieved errors within the range of state-of-the-art active markerless systems and visual evaluations done by physical therapists. The obtained results are promising and demonstrate that the developed methodology allows the analysis of human motion for a rehabilitation purpose.