Perceptual Evaluation of Video-Realistic Speech

abstract With many visual speech animation techniques now available, there is a clear need for systematic perceptual evaluation schemes. We describe here our scheme and its application to a new video-realistic (potentially indistinguishable from real recorded video) visual-speech animation system, called Mary 101. Two types of experiments were performed: a) distinguishing visually between real and synthetic image- sequences of the same utterances, ("Turing tests") and b) gauging visual speech recognition by comparing lip-reading performance of the real and synthetic image-sequences of the same utterances ("Intelligibility tests"). Subjects that were presented randomly with either real or synthetic image-sequences could not tell the synthetic from the real sequences above chance level. The same subjects when asked to lip-read the utterances from the same image-sequences recognized speech from real image-sequences significantly better than from synthetic ones. However, performance for both, real and synthetic, were at levels suggested in the literature on lip-reading. We conclude from the two experiments that the animation of Mary 101 is adequate for providing a percept of a talking head. However, additional effort is required to improve the animation for lip-reading purposes like rehabilitation and language learning. In addition, these two tasks could be considered as explicit and implicit perceptual discrimination tasks. In the explicit task (a), each stimulus is classified directly as a synthetic or real image-sequence by detecting a possible difference between the synthetic and the real image-sequences. The implicit perceptual discrimination task (b) consists of a comparison between visual recognition of speech of real and synthetic image-sequences. Our results suggest that implicit perceptual discrimination is a more sensitive method for discrimination between synthetic and real image-sequences than explicit perceptual discrimination.

La adquisición de la interrogación: las interrogativas parciales en catalán y castellano = The acquisition of interrogatives:Wh-questions in Catalan and Spanish

En este trabajo se describe la naturaleza y secuencia de adquisición de las preguntas interrogativas parciales en niños de habla catalana y/o castellana dentro de un marco de análisis según el cual la adquisición de las estructuras lingüísticas se construye gradualmente desde estructuras concretas hasta estructuras más abstractas. La muestra utilizada se compone de 10 niños y niñas procedentes de corpus longitudinales cuyas edades van de los 17 meses a los 3 años. El análisis se ha realizado atendiendo a la estructura sintáctica de la oración, los errores, los pronombres y adverbios interrogativos, y la tipología verbal. Los resultados muestran que la secuencia de adquisición pasa por un momento inicial caracterizado por producciones estereotipadas o fórmulas, durante el cual sólo aparecen algunas partículas interrogativas en estructuras muy concretas. Posteriormente la interrogación aparece con otros pronombres y adverbios y se diversifica a otros verbos, además, no se observan errores en la construcción sintáctica. Estos resultados suponen un hecho diferencial respecto de estudios previos en lengua inglesa

Estimating the motion of an underwater robot from a monocular image sequence

When underwater vehicles perform navigation close to the ocean floor, computer vision techniques can be applied to obtain quite accurate motion estimates. The most crucial step in the vision-based estimation of the vehicle motion consists on detecting matchings between image pairs. Here we propose the extensive use of texture analysis as a tool to ameliorate the correspondence problem in underwater images. Once a robust set of correspondences has been found, the three-dimensional motion of the vehicle can be computed with respect to the bed of the sea. Finally, motion estimates allow the construction of a map that could aid to the navigation of the robot

Detection of matchings in a sequence of underwater images through texture analysis

This paper presents an approach to ameliorate the reliability of the correspondence points relating two consecutive images of a sequence. The images are especially difficult to handle, since they have been acquired by a camera looking at the sea floor while carried by an underwater robot. Underwater images are usually difficult to process due to light absorption, changing image radiance and lack of well-defined features. A new approach based on gray-level region matching and selective texture analysis significantly improves the matching reliability

Estimation of zero-sequence impedance of undergrounds cables for single-phase fault location in distribution systems with electric arc

This paper focus on the problem of locating single-phase faults in mixed distribution electric systems, with overhead lines and underground cables, using voltage and current measurements at the sending-end and sequence model of the network. Since calculating series impedance for underground cables is not as simple as in the case of overhead lines, the paper proposes a methodology to obtain an estimation of zero-sequence impedance of underground cables starting from previous single-faults occurred in the system, in which an electric arc occurred at the fault location. For this reason, the signal is previously pretreated to eliminate its peaks voltage and the analysis can be done working with a signal as close as a sinus wave as possible

System Design: UML Activity and Sequence Diagrams

In this session we look at how to model flow of control and interactions between components using UML Activity and Sequence Diagrams. This is an introductory session and so for Activity Diagrams we only cover branching, forks and joins and swim lanes, and for Sequence we cover lifelines, messages and returns, and alt, par and opt frames.

Systems Design: Activity and Sequence modelling using Visual Paradigm

This lab follows the lectures 'System Design: http://www.edshare.soton.ac.uk/9653/ and http://www.edshare.soton.ac.uk/6280/ . Students use Visual Paradigm for UML to build Activity and Sequence models through project examples: Library, Plant Nursery and a Health Spa

"Thematically Analysing Social Network Content During Disasters Through the Lens of the Disaster Management Lifecycle" & "Investigating Similarity Between Privacy Policies of Social Networking Sites as a Precursor for Standardization"

Abstract 1: Social Networks such as Twitter are often used for disseminating and collecting information during natural disasters. The potential for its use in Disaster Management has been acknowledged. However, more nuanced understanding of the communications that take place on social networks are required to more effectively integrate this information into the processes within disaster management. The type and value of information shared should be assessed, determining the benefits and issues, with credibility and reliability as known concerns. Mapping the tweets in relation to the modelled stages of a disaster can be a useful evaluation for determining the benefits/drawbacks of using data from social networks, such as Twitter, in disaster management.A thematic analysis of tweets’ content, language and tone during the UK Storms and Floods 2013/14 was conducted. Manual scripting was used to determine the official sequence of events, and classify the stages of the disaster into the phases of the Disaster Management Lifecycle, to produce a timeline. Twenty- five topics discussed on Twitter emerged, and three key types of tweets, based on the language and tone, were identified. The timeline represents the events of the disaster, according to the Met Office reports, classed into B. Faulkner’s Disaster Management Lifecycle framework. Context is provided when observing the analysed tweets against the timeline. This illustrates a potential basis and benefit for mapping tweets into the Disaster Management Lifecycle phases. Comparing the number of tweets submitted in each month with the timeline, suggests users tweet more as an event heightens and persists. Furthermore, users generally express greater emotion and urgency in their tweets.This paper concludes that the thematic analysis of content on social networks, such as Twitter, can be useful in gaining additional perspectives for disaster management. It demonstrates that mapping tweets into the phases of a Disaster Management Lifecycle model can have benefits in the recovery phase, not just in the response phase, to potentially improve future policies and activities. Abstract2: The current execution of privacy policies, as a mode of communicating information to users, is unsatisfactory. Social networking sites (SNS) exemplify this issue, attracting growing concerns regarding their use of personal data and its effect on user privacy. This demonstrates the need for more informative policies. However, SNS lack the incentives required to improve policies, which is exacerbated by the difficulties of creating a policy that is both concise and compliant. Standardization addresses many of these issues, providing benefits for users and SNS, although it is only possible if policies share attributes which can be standardized. This investigation used thematic analysis and cross- document structure theory, to assess the similarity of attributes between the privacy policies (as available in August 2014), of the six most frequently visited SNS globally. Using the Jaccard similarity coefficient, two types of attribute were measured; the clauses used by SNS and the coverage of forty recommendations made by the UK Information Commissioner’s Office. Analysis showed that whilst similarity in the clauses used was low, similarity in the recommendations covered was high, indicating that SNS use different clauses, but to convey similar information. The analysis also showed that low similarity in the clauses was largely due to differences in semantics, elaboration and functionality between SNS. Therefore, this paper proposes that the policies of SNS already share attributes, indicating the feasibility of standardization and five recommendations are made to begin facilitating this, based on the findings of the investigation.

Incidencia de fibrilación auricular en pacientes con dispositivos de estimulación cardiaca con cardiopatía chagásica y no chagásica

La posible asociación entre el desarrollo de fibrilación auricular (FA) con la presencia de cardiopatía chagásica en una población portadora de dispositivos cardiacos de estimulación no está descrita. Se presenta un estudio de tipo cohorte retrospectivo realizado en la FCI que recopila las principales características clínicas de una población de pacientes con cardiopatía de variada etiología y portadores de dispositivos cardiacos buscando evaluar la incidencia de FA en presencia de cardiomiopatía de origen chagásico y no chagásico. A la fecha no se cuenta con una base de datos institucional ni regional que contenga las variables analizadas. Durante los 5 meses que duró la construcción de la base de datos se incluyeron 99 sujetos de investigación. Se implantaron 42 marcapasos bicamerales, 39 cardiodesfibriladores bicamerales, 6 dispositivos correspondientes cardiodesfibrilador con función de resincronización cardiaca, 2 resincronizadores cardiacos sin función de cardiodesfibrilador y 7 cardiodesfibriladores unicamerales. De los 99 sujetos recolectados se presentaron 8 desenlaces (FA de novo) y de esos solamente 1 pertenece al grupo de pacientes con cardiomiopatía chagásica. Este número reducido de desenlaces no permitió desarrollar un modelo de regresión de Cox y ni otros tipos de análisis estadísticos planteados en el protocolo inicial debido al bajo número de casos y pobre poder estadístico. Esta dificultad es inherente a la naturaleza del problema a estudiar y al corto tiempo de seguimiento. Por lo anterior no se puede establecer si existe una relación entre la presencia de serología positiva para infección por T. Cruzi y la presencia de FA de novo.