17 resultados para video capture

em Deakin Research Online - Australia


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This paper reports on a small trial with 6 pre-service teachers who videoed their own teaching practices. The pre-service teachers used the tool to reflect on practice and to enhance their own understandings of themselves as teachers. The initial footage was used to by the pre-service teachers to gauge quite specific elements of their teaching: for example, were they asking effective questions, or were they responding appropriately to questions children asked and as always, what management strategies seemed to be working? Critical feedback from other students was initially „less than critical‟, but again over time, this also appeared to sharpen as they had more opportunity to use the technology. Initial embarrassment of being on screen was replaced with a professional approach to seeing the video as a tool for providing the opportunity to systematically deconstruct practices and for providing concrete feedback for improvement. Used in conjunction with teaching preparation courses, the videoed segments of teaching practice could be used to highlight exemplars, to show what actually happens in classrooms and to explain certain practices. Cunningham and Benedetto (2002) state “Recent developments in digital video technologies permit teacher candidates to collect, review, and manipulate video to demonstrate their growth as a professional and as a reflective practitioner.” However, in the development of the trial, the issue was raised by the pre-service teachers that they would be interested in keeping the videos as evidence of their teaching competence to be used in applications for teaching positions. In the small trial, ethics permission had not been gained for that to happen, but it is certainly a valid and viable possibility for the future. Currently prospective employers have to rely on paper applications which respond to selection criteria, evidence from pre-service teachers‟ teaching rounds and the subjective impressions of an interview. If students were able to present a 5 minute segment of them teaching, it might count for much more than any other evidence. Video capture of teaching practice would provide potential employers with an indication of a pre-service teacher‟s management strategies, relationships with children and a snapshot of a pre-service teacher‟s instructional practice. The idea of video-capture as a tool for pre-service teachers to illustrate teaching capabilities will be more fully investigated in this paper.

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We describe how object estimation by a stationary or a non-stationary camera can be improved using recently-developed robust estimation ideas. The robustness of vision-based systems can be improved significantly by employing a Robust Extended Kalman Filter (REKF). The system performance is also enhanced by increasing the spatial diveristy in measurements via employing additional cameras for video capture. We describe a normal-flow based image segmentation technique to identify the object for the application of our proposed state estimation technique. Our simulations demonstrate that dynamic system modelling coupled with the application of a REKF significantly improves the estimation system performance, especially when large uncertainties are present.

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In this paper, we use recently developed robust estimation ideas to improve object tracking by a stationary or nonstationary camera. Large uncertainties are always present in vision-based systems, particularly, in relation to the estimation of the initial state as well as the measurement of object motion. The robustness of these systems can be significantly improved by employing a robust extended Kalman filter (REKF). The system performance can also be enhanced by increasing the spatial diversity in measurements via employing additional cameras for video capture. We compare the performances of various image segmentation techniques in moving-object localization and show that normal-flow-based segmentation yields comparable results to, but requires significantly less time than, optical-flow-based segmentation. We also demonstrate with simulations that dynamic system modeling coupled with the application of an REKF significantly improves the estimation system performance, particularly, when subjected to large uncertainties.

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Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance-based sports. Thus, the proposed system should be generic and robust for all types of sports.

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There has been growing interest in linking the learning of Science with the literacies of Science and representations. Recent attention has been focused on learning theories that emphasise the socio-cultural and situated aspects of learning, and in particular the notion of learning as participation in a discourse community. This paper will describe a learning sequence planned wilh Year 5/6 teachers to study invertebrates in the schoolground environment, but with an additional focus in which students generated and negotiated representations, and discussed the adequacy of these. The paper will present data from video capture of classroom activities, students' work samples, and pre- and post-unit testing, to explore what a representational focus might entail in teaching science, and the role of representations in learning, reasoning and exploring in science.

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This paper discusses the actions, strategies and responses of teachers during their involvement with a short cycle school improvement model in four schools. The school improvement cycles are designed to build the leadership of principals to support teachers at an individual level through a web of decision making and practices. In these cycles, teachers are both more supported and more accountable for implementing changed classroom practices in order to bring about improved student outcomes. T he school improvement model follows a pattern of decision making and negotiation across and between layers of leadership within the network and the school, but for improvement to occur at the level of the student, the teacher’s pedagogical practices need to be r(e)negotiated to ensure that teaching practice meet the needs of the students.
However, evaluating teacher practice is risky business. Teachers can say, and believe, that their practices are providing the best for their students, but this is an area of uncertainty. Using a number of strategies including observation of teacher meetings, teacher interviews and video capture, the research will investigate the issue of how directives for change are translated into classroom practice. The observation of meetings of teachers will provide an indication of the type of change required and the proposed strategies. Video-capture, which is followed by teacher interviews, will provide further information about changing teaching practice.
With teacher permission, students in the research will also view the video snippets to indicate what particular pedagogy was instrumental in their learning, providing substantial feedback to the teacher on what works best for that cohort of students at that time. Teachers will be provided with the opportunity to reflect on and learn from their practice, using video-capture as a self-reflective tool. Teachers can employ video capture as a strategy to assess their management of students, their pedagogical approaches, teaching strategies and student responses and is an emerging area of research of interest to teachers and teacher educators (e.g. Seidel, Sturmer, Blomberg, Kobarg, Schwindt, 2011). The paper will provide examples of changed teacher practice through vignettes of a number of schools, teachers and classrooms and will explore the methodological reflexivity associated with this dual role of the research: to evaluate, and to support improvement.

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Capturing devices, while continually becoming smaller and easier to use, have increased in capacity. They are also more connectable and interoperable, and their propensity to show up where they are least expected is surprising. Despite these advances, the video-capture experience is still frustrating. To achieve success, two issues need consideration. One is to determine what to capture and how, and how to handle the ensuring process required to transform the raw captured footage into a presentable multimedia artifact. Continual query on discourse theory, domain distinctives such as media aesthetics, human-computer interface issues, and multimedia data description standards is also important.

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This chapter reports on results of an international research project across Australia, Taiwan and Germany, titled: Exploring quality primary education in different cultures: A cross-national study of teaching and learning in primary science classrooms (EQUALPRIME).1 Its aim is to explore through video capture the practice of expert teachers of science in Taiwan, Germany and Australia. This chapter explores the pedagogical practices in two cases – fi rstly a Grade 4 Australian school with a specialist science teacher, Bob (pseudonym), and secondly, a mixed-age (Grade 4–6) German classroom being co-taught by a pair of teachers, Mr Arnold and Mrs Lennard. In both cases the students were studying the topic of force. The project is not determining what quality teaching is in any essentialised sense; this could be contentious in that quality practice might be considered to varywithin classrooms from the same country, let alone across countries and across cultures. Rather, given cases in which quality teaching is reported to be occurring, the project aims to describe these examples and identify features of quality science teaching practices as judged by peers in varied cultural settings. Data from these two cases in which quality teaching of science occurs, are used to address the research question: What can quality teaching and learning look like in a science classroom?

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The research described in this paper argues that difficulties of leaming science concepts such as those associated with processes involving the Sun, Moon and Earth, such as day and night, the seasons and phases of the moon, are fundamentally representational in nature. There is a need for learners to use their own representational, cultural and cognitive resources to engage with the subject-specific representational practices of science. From this perspective students need to understand and conceptually integrate different representational modalities or forms in learning science and reasoning in science. The researchers worked with two experienced teachers in planning a teaching sequence in astronomy using a teaching approach that highlight representational issues and options in helping students explore and develop key conceptual understandings. Classroom sequences involving the two teachers were videotaped using a combined focus on the teacher and groups of students. Video analysis software was used to capture the variety of representations used, and sequences of representational negotiation. From a pedagogical perspective the representational approach placed a significant agency in the hands of students which resulted in structured discussions around conceptual problems. Representations were used as tools for reasoning and communication to drive classroom discussions and develop higher levels of understanding in the students. The pre- and post-testing showed significant gains in students thinking from naive to more scientific understandings of astronomy.

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This paper addresses the coordinated use of video and audio cues to capture and index surveillance events with multimodal labels. The focus of this paper is the development of a joint-sensor calibration technique that uses audio-visual observations to improve the calibration process. One significant feature of this approach is the ability to continuously check and update the calibration status of the sensor suite, making it resilient to independent drift in the individual sensors. We present scenarios in which this system is used to enhance surveillance.

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This paper describes a novel interactive media authoring framework, MediaTE, that enables amateurs to create videos of higher narrative or aesthetic quality with a completely mobile lifecycle. A novel event bootstrapping dialog is used to derive shot suggestions that yield both targetted footage and annotation enabling an automatic Computational Media Aesthetics-aware editing phase, the manual performance of which is typically a barrier to the amateur. This facilitates a move away from requiring a prior-conception of the events or locale being filmed, in the form of a template, to at-capture bootstrapping of this information. Metadata gathered as part of the critical path of media creation also has implications for the longevity and reuse of captured media assets. Results of an evaluation performed on both the usability and delivered media aspects of the system are discussed, which highlight the tenability of the proposed framework and the quality of the produced media.

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This paper presents novel additions to our existing amateur media creation framework. The framework provides at-capture guidance to enable the home movie maker to realize their aesthetic and narrative goals and automation of post-production editing. A common problem with the amateur filming context is its contingent nature, which often results in the failure to gain footage vital to the user's goals, even with at-capture software embedding. Accordingly, we have modelled minimizing the difference between target and captured footage at a given time during filming as a probability distribution divergence problem. We apply two policies of feedback to the user on their performance, passive communication via a suggestion desirability measure, and active filtering of undesirable suggestions. We demonstrate the framework using each policy with a simulation of various user and filming situations with promising results.

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Design-based research has gained currency in educational research over the past decade due to its strength to bridge the divide between theoretical research and educational practice in naturalistic settings. Design based approaches involve a process of designing mathematical tasks, observing the enacted design in classrooms and reflecting on the process from analysing the classroom artifacts. Video plays a central role in supporting teachers and teacher educators to study and reflect on students’ mathematical thinking and in capturing the dynamic of classroom teaching and learning process.

This chapter will examine and analyse practitioner’s lenses in capturing the dynamic and complexity of classroom mathematical learning using video segments, and classroom artifacts including digital photos of classroom moments and students’ work. Practitioners’ lenses are taken as a window to capture key teaching and learning moments from the lessons. Analysis of this selection of these video segments along with other classroom artifacts based on practitioners’ lenses provide insights into practitioners’ views on key teaching and learning moments in mathematics lessons.

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This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.

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The creation of sharing communities has resulted in the astonishing increasing of digital videos, and their wide applications in the domains such as entertainment, online news broadcasting etc. The improvement of these applications relies on effective solutions for social user access to video data. This fact has driven the recent research interest in social recommendation in shared communities. Although certain effort has been put into video recommendation in shared communities, the contextual information on social users has not been well exploited for effective recommendation. In this paper, we propose an approach based on the content and social information of videos for the recommendation in sharing communities. Specifically, we first exploit a robust video cuboid signature together with the Earth Mover's Distance to capture the content relevance of videos. Then, we propose to identify the social relevance of clips using the set of users belonging to a video. We fuse the content relevance and social relevance to identify the relevant videos for recommendation. Following that, we propose a novel scheme called sub-community-based approximation together with a hash-based optimization for improving the efficiency of our solution. Finally, we propose an algorithm for efficiently maintaining the social updates in dynamic shared communities. The extensive experiments are conducted to prove the high effectiveness and efficiency of our proposed video recommendation approach.