Edición de videos como recurso para el análisis táctico-técnico en vóleibol

En el trabajo se muestra la edición de videos como recurso complementario para el análisis táctico de un equipo rival y el análisis técnico de los propios jugadores. El video correctamente editado muestra las distintas posibilidades de acciones tácticas de un equipo, resulta un apoyo a la explicación que los entrenadores suelen presentar a sus jugadores en las instancias previas a los partidos. De esta manera, la atención del jugador se concentra en las cuestiones trascendentes que el entrenador selecciona. En el trabajo, también se aborda las posibilidades de edición de videos para comparar aspectos técnicos de jugadores del equipo con otros de nivel superior

Edición de videos y diagramas en Básquetbol

La edición de videos proporciona al entrenador un elemento interesante para seleccionar imágenes y momentos clave del juego. Aquí se muestra como los registros audiovisuales seleccionados resultan útiles para entrenadores y jugadores en un contexto de práctica o de rendimiento deportivo, y para profesores y estudiantes en un contexto de enseñanza. La educación superior y las prácticas vinculadas a la dirección de equipos en una liga de básquetbol son los escenarios elegidos para revelar cómo el entrenador convive con el uso de herramientas informáticas que le permiten relacionarse con sus jugadores, con colegas y con otros integrantes de la liga. Aquí se considera la asociación del uso de internet, editor de videos, y repositorios de documentos. Se analizan las ventajas del uso de esta conjunción de herramientas aplicadas al entrenamiento, la práctica y la enseñanza del básquetbol. Además, se explica el equipamiento necesario para el ingreso de la tecnología informática propuesta, vinculada a la práctica y enseñanza del básquetbol

Educational Videos and Exposure to Nature as Predictors of Environmentally Responsible Behaviours among University Students

The purpose of this study was to examine if the effects of exposure to educational videos on climate change and exposure to a view of nature could elicit environmentalist behaviours and increase one’s environmental identity. It was predicted that participants who were exposed to a view of nature and saw a video on climate change would have a higher likelihood to plant a seed and experience greater connectedness to nature. Fifty-four students (38 females, 15 males, and 1 gender fluid) with ages ranging from 18 to 47 were recruited for the experiment. A 2 (type of video) x 2 (type of view) factorial design was conducted, in which participants were randomly assigned to watch either an educational video on climate change or on popsicles, and they either had a view of outdoors or indoors. There was no significant interaction for setting and video (p = .172) on whether participants chose to plant a seed or not. Likewise, there was no significant interaction for setting and video (p = .262) on planting intentions. There was a significant effect for the video on experiencing connection to nature (p = .039, ηp2 = .08). These findings suggest that this video could change one’s perception of nature.

A contribution to semantic description of images and videos: an application of soft biometrics

Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.

Between Stimulation and Overwhelming: Reflections on the Usage of Videos for Teacher Training in Tanzania

The article reflects on a pilot teacher training programme in Tanzania, where videos are used for implementing new teaching methods, but also for initiating a discourse about corporal punishment. The culture of instruction in Tanzania is strictly based on a teacher-centred approach which leaves all activity to the teacher and turns students into passive listeners. In most cases, teachers deal with up to 80 students in one classroom. Therefore, discipline is an important matter of instruction and many teachers still use corporal punishment that is widely accepted in Tanzania. The launched training programme has the aim of implementing learner-centred teaching methods without using corporal punishment and offers Tanzanian teachers the possibility to participate in a workshop that connects these methods with subject-related topics. In the English teaching workshop, the facilitator used filmed English lessons from a German school to discuss with the participants both the application of learner-centred methods and the absence of corporal punishment. The use of these German videos shows advantages but also limitations that are strongly related to the European versus African setting. The article discusses these dimensions on the basis of data that are generated by ethnographical observation and audiotranscripts of the piloted workshop.

Modelling human behaviour and event detection from videos

Automatic analysis of human behaviour in large collections of videos is gaining interest, even more so with the advent of file sharing sites such as YouTube. However, challenges still exist owing to several factors such as inter- and intra-class variations, cluttered backgrounds, occlusion, camera motion, scale, view and illumination changes. This research focuses on modelling human behaviour for action recognition in videos. The developed techniques are validated on large scale benchmark datasets and applied on real-world scenarios such as soccer videos. Three major contributions are made. The first contribution is in the area of proper choice of a feature representation for videos. This involved a study of state-of-the-art techniques for action recognition, feature extraction processing and dimensional reduction techniques so as to yield the best performance with optimal computational requirements. Secondly, temporal modelling of human behaviour is performed. This involved frequency analysis and temporal integration of local information in the video frames to yield a temporal feature vector. Current practices mostly average the frame information over an entire video and neglect the temporal order. Lastly, the proposed framework is applied and further adapted to real-world scenario such as soccer videos. A dataset consisting of video sequences depicting events of players falling is created from actual match data to this end and used to experimentally evaluate the proposed framework.

Context Models for Understanding Images and Videos

A computer vision system that has to interact in natural language needs to understand the visual appearance of interactions between objects along with the appearance of objects themselves. Relationships between objects are frequently mentioned in queries of tasks like semantic image retrieval, image captioning, visual question answering and natural language object detection. Hence, it is essential to model context between objects for solving these tasks. In the first part of this thesis, we present a technique for detecting an object mentioned in a natural language query. Specifically, we work with referring expressions which are sentences that identify a particular object instance in an image. In many referring expressions, an object is described in relation to another object using prepositions, comparative adjectives, action verbs etc. Our proposed technique can identify both the referred object and the context object mentioned in such expressions. Context is also useful for incrementally understanding scenes and videos. In the second part of this thesis, we propose techniques for searching for objects in an image and events in a video. Our proposed incremental algorithms use the context from previously explored regions to prioritize the regions to explore next. The advantage of incremental understanding is restricting the amount of computation time and/or resources spent for various detection tasks. Our first proposed technique shows how to learn context in indoor scenes in an implicit manner and use it for searching for objects. The second technique shows how explicitly written context rules of one-on-one basketball can be used to sequentially detect events in a game.

Objetivos de aprendizaje en videos de la facultad de ingeniería, Universidad Autónoma de Campeche.

Las Tecnologías de Información y Comunicación (TIC‘s) forman parte de la vida de la mayoría de las personas. Hoy en día, el uso de estas tecnologías en los ambientes educativos está siendo demandado debido al impacto. Debido a lo anterior, se han desarrollado diversas plataformas que promueven el aprendizaje en redes y que funcionan como repositorios de contenido académico con el aval de prestigiosas universidades que son accesibles en línea fomentando la vinculación y el intercambio de conocimiento. Una de las herramientas más usadas en las plataformas son los Objetos de Aprendizaje(OA) que por su naturaleza basada en la programación orientada a objetos resultan una estrategia efectiva para lograr objetivos educativos, presentando información independiente que contribuye a un objetivo con mayor jerarquía agrupándose o reutilizándose en diversos contextos. Sin embargo, se suele encontrar OA que carecen de una estructura pedagógica, debido a que los docentes no emplean una metodología que los oriente en el proceso. El reto de muchos profesores es plasmar su conocimiento en plataformas que faciliten la distribución, sean atractivas y confiables; así contribuir a la red de conocimiento y al mismo tiempo fortalecer los materiales didácticos de sus programas educativos. El presente trabajo genera una metodología que guía al docente en la creación de objetos de aprendizajes en video de calidad accesibles en línea. Se propone una metodología de desarrollo que basada el trabajo colaborativo donde interviene un docente experto en contenido, un diseñador instruccional y un desarrollador tecnológico.

Prototipo web para la creación de descripciones y reproducción de videos con audio descripción utilizando un sintetizador de voz

117 p.

INST-D 2016. 6 [Videos de divulgación de resultados de la ejecución de acciones de fortalecimiento de la actividad artesanal en el departamento de Atlántico]

8 vídeos, duración promedio de c/u 3' 40"

Infants, interfaces, and intermediation: digital parenting and the production of 'iPad baby' videos on YouTube

We investigate the ways young children’s use of mobile touchscreen interfaces is both understood and shaped by parents through the production of YouTube videos and discussions in associated comment threads. This analysis expands on, and departs from, theories of parental mediation, which have traditionally been framed through a media effects approach in analyzing how parents regulate their children’s use of broadcast media, such as television, within family life. We move beyond the limitations of an effects framing through more culturally and materially oriented theoretical lenses of mediation, considering the role mobile interfaces now play in the lives of infants through analysis of the ways parents intermediate between domestic spaces and networked publics. We propose the concept of intermediation, which builds on insights from critical interface studies as well as cultural industries literature to help account for these expanded aspects of digital parenting. Here, parents are not simply moderating children’s media use within the home, but instead operating as an intermediary in contributing to online representations and discourses of children’s digital culture. This intermediary role of parents engages with ideological tensions in locating notions of “naturalness:” the iPad’s gestural interface or the child’s digital dexterity.

Increasing relevance and interest : teaching environmental and planning law to built environment students

A new approach was taken to delivering a challenging "stewarship of land" unit to over 350 predominantly first year built environment students stewardship. The new approach involved incorporating environmental and planning law into the syllabus, exposing students to a wide range of statutes, selecting legal cases according to a et of criteria and revisiting the material using different modes of delivery and teaching resources. To evaluate the effectiveness of the new approach, the students were surveyed to elicit their learning experience and preferences. The survey found that most students perceived learning about environmental and planning law, including legal cases, worthwhile.----- Areas identified by the surcey for improvement included the perception by some students that: environmenatl and planning law is irrelevant to their discipline and future caree; studying law is dull and sometimes daunting; and the prescribed reading could be omitted.----- To address student perceptions, it is proposed to reorder the topics commencing with local, charismatic topics, while explanding international content and cases, to enlarge and enhance the repertoire of video clips to include sites of legal cawses and development projects, and to reformat the online weekly quizzes to promote reading of primary material.----- Overall, the approach to teaching environmental and planning law to built environment students, including the criteria for selecting legal cases, described in this paper, was found to be effective.

Uses of YouTube : digital literacy and the growth of knowledge

I invented YouTube. Well, not YouTube exactly, but something close – something called YIRN; and not by myself exactly, but with a team. In 2003-5 I led a research project designed to link geographically dispersed young people, to allow them to post their own photos, videos and music, and to comment on the same from various points of view – peer to peer, author to public, or impresario to audience. We wanted to find a way to take the individual creative productivity that is associated with the Internet and combine it with the easy accessibility and openness to other people’s imagination that is associated with broadcasting; especially, in the context of young people, listening to the radio. So we called it the Youth Internet Radio Network, or YIRN.