Computer Science: Recent submissions

Now showing items 441-460 of 2149

    • Using Ontology Design Patterns to Define SHACL Shapes 

      O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (CEUR-WS, 2018)
      SHACL shapes used for validation are not related to the axioms used in ontologies used to define the instances. One of the issues with using such axioms is their dependence on concepts which may not be used within the ...

    • Investigating Conditional Data Value Under GDPR 

      O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA; Petkov, Plamen (Science Direct, 2018)
      The calculation of data value is based on the assumption of continued presence of information. When the data in consideration concerns personal information, laws such as the European General Data Protection Regulation ...

    • Explaining Disclosure Decisions Over Personal Data 

      O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA; Gachpaz Hamed, Roghaiyeh (Ramisa); Conlan, Owen (CEUR WS, 2019)
      The use of automated decision making systems to disclose personal data provokes privacy concerns as it is difficult for individuals to understand how and why these decisions are made. This research proposes an approach ...

    • An Exploration of Data Interoperability for GDPR 

      O'Sullivan, Declan; Lewis, David (2018)
      The General Data Protection Regulation (GDPR) specifies obligations that shape the way information is collected, shared, provided, or communicated, and provides rights for receiving a copy of their personal data in an ...

    • WinkTalk: A Demonstration of a Multimodal Speech Synthesis Platform Linking Facial Expressions to Expressive Synthetic Voices 

      Cabral, Joao; Székely, Éva; Ahmed, Zeeshan; Carson-Berndsen, Julie (Association for Computational Linguistics, 2012)
      This paper describes a demonstration of the WinkTalk system, which is a speech synthesis platform using expressive synthetic voices. With the help of a webcamera and facial expression analysis, the system allows the ...

    • HMM-based speech synthesis with an acoustic glottal source model 

      Cabral, Joao; Richmond, Korin; Yamagishi, Junichi; Renals, Steve (2009)
      A major cause of degradation of speech quality in HMMbased speech synthesis is the use of a simple delta pulse signal to generate the excitation of voiced speech. This paper describes a new approach to using an ...

    • Introducing Difficulty-Levels in Pronunciation Learning 

      Cabral, Joao; Zahra, Amalia; Carson-Berndsen, Julie; Kane, Mark (International Speech Communication Association (ISCA), 2011)
      This paper presents a method to introduce the notion of a student selected difficulty level for the task of pronunciation learning of a second language. Three difficulty levels, novice, acceptable and native, are ...

    • Multilingual Word Segmentation: Training Many Language-Specific Tokenizers Smoothly Thanks to the Universal Dependencies Corpus 

      Vogel, Carl; Moreau, Erwan (European Language Resources Association (ELRA), 2018)
      This paper describes how a tokenizer can be trained from any dataset in the Universal Dependencies 2.1 corpus (UD2) (Nivre et al., 2017). A software tool, which relies on Elephant (Evang et al., 2013) to perform the ...

    • Advanced Assistive Technologies for Elderly People: A Psychological Perspective on Seniors' Needs and Preferences (part A) 

      Vogel, Carl (2020)
      This paper provides an overview of the literature concerning Seniors’ psychological perspective in exploiting assistive robots and the embodied conversational agents. The main theoretical models devoted to assess user’s ...

    • Standardisation, Data Interoperability, and GDPR 

      PANDIT, HARSHVARDHAN JITENDRA; Debruyne, Christophe; O'Sullivan, Declan; Lewis, David (IGI Global, 2020)
      The General Data Protection Regulation (GDPR) has changed the ecosystem of services involving personal data and information. It emphasises several obligations and rights, amongst which the Right to Data Portability requires ...

    • Creating a Vocabulary for Data Privacy: The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG) 

      Pandit, Harshvardhan; Brennan, Rob (2019)
      Managing privacy and understanding handling of personal data has turned into a fundamental right, at least within the European Union, with the General Data Protection Regulation (GDPR) being enforced since May 25th 2018. ...

    • Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition 

      Smolic, Aljosa; Chalasani, Tejo (2019)
      Ego hand gestures can be used as an interface in AR and VR environments. While the context of an image is impor- tant for tasks like scene understanding, object recognition, image caption generation and activity ...

    • Aesthetic Image Captioning from Weakly-Labelled Photographs 

      Smolic, Aljosa; Ghosal, Koustav; Rana, Aakanksha (2019)
      Aesthetic image captioning (AIC) refers to the multimodal task of generating critical textual feedbacks for photographs. While in natural image captioning (NIC), deep models are trained in an end-to-end manner using ...

    • Interactive Light Field Tilt-Shift Refocus with Generalized Shift-and-Sum 

      Smolic, Aljosa; Alain, Martin; Aenchbacher, Weston (2019)
      Since their introduction more than two decades ago, light fields have gained considerable interest in graphics and vision communities due to their ability to provide the user with interactive visual content. One of the ...

    • DublinCity: Annotated LiDAR Point Cloud and its Applications 

      Smolic, Aljosa; Zolanvari, S.M. Iman; Ruano, Susana; Rana, Aakanksha; Cumins, Alan; da Silva, Rogerio Eduardo; Rahbar, Morteza (2019)
      Scene understanding of full-scale 3D models of an urban area remains a challenging task. While advanced computer vision techniques offer cost-effective approaches to analyse 3D urban elements, a precise and densely ...

    • OPN: Open Notice Receipt Schema 

      PANDIT, HARSHVARDHAN JITENDRA; Lizar, Mark (2019)
      Effective digital transparency largely depends on provision of a notice, which historically has been a static document such as a privacy policy rather than a contextually useful notice or sign. In this paper, we present ...

    • Deep Tone Mapping Operator for High Dynamic Range Images 

      Smolic, Aljosa; Rana, Aakanksha; Singh, Praveer; Valenzise, Giuseppe; Dufaux, Frederic; Komodakis, Nikos (2019)
      A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low dynamic range (LDR) output devices such as ...

    • Towards Cataloguing Potential Derivations of Personal Data 

      PANDIT, HARSHVARDHAN JITENDRA; Debruyne, Christophe; Fernández, Javier D.; Polleres, Axel (2019)
      The General Data Protection Regulation (GDPR) has estab- lished transparency and accountability in the context of personal data usage and collection.While its obligations clearly apply to data explicitly obtained from ...

    • Deep Convolutional Neural Networks for estimating lens distortion parameters 

      Smolic, Aljosa; Lutz, Sebastian; Davey, Mark (2019)
      In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single input image. Unlike other methods, our network is suitable to create high resolution output as ...

    • L2 based Colour Correction for Light Field Arrays 

      Smolic, Aljosa; Grogan, Mairéad (2019)
      In recent years, there has been an increase in the popularity of Light Field (LF) imaging technology with the increase in availability of LF camera devices such as the Lytro, as well as an increase in the use of LF ...