994 resultados para photos


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‘Media Arts’ has been included as a fifth area of the Arts for the Australian Curriculum which will become mandatory learning for all Australian children from pre-school to Year Six (Y6) from 2014. The current curriculum design is underpinned by an approach familiar to media educators who combine creative practice and critical response to develop students’ media literacies. Media Arts within the Australian Curriculum will place Australia at the forefront of international efforts to promote media education as an entitlement for all children. Even with this mandated endorsement, however, there remains ongoing debate about where to locate media education in school curricula. Historically, media education in Australia has been approached through diverse curriculum activities at the secondary school level. These include subject English’s critical literacy objectives; vocationally oriented media and technology education or ICTs education; and Arts courses using new media technologies for creativity. In this chapter we consider the possibilities and challenges for Media Arts, specifically for primary school student learning. We draw on empirical evidence from a research project that has trialled a Media Arts curriculum with students attending a primary school in a low socio-economic status and culturally diverse community on the outskirts of Brisbane, Queensland.

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Sharing photos through mobile devices has a great potential for creating shared experiences of social events between co-located as well as remote participants. In order to design novel event sharing tools, we need to develop in-depth understanding of current practices surrounding these so called ‘event photos’- photos about and taken during different social events such as weddings picnics, and music concert visits among others. We studied people’s practices related to event photos through in-depth interviews, guided home visits and naturalistic observations. Our results show four major themes describing practices surrounding event photos: 1) representing events, 2) significant moments, 3) situated activities through photos, and 4) collectivism and roles of participants.

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User-generated content plays a pivotal role in the current social media. The main focus, however, has been on the explicitly generated user content such as photos, videos and status updates on different social networking sites. In this paper, we explore the potential of implicitly generated user content, based on users’ online consumption behaviors. It is technically feasible to record users’ consumption behaviors on mobile devices and share that with relevant people. Mobile devices with such capabilities could enrich social interactions around the consumed content, but it may also threaten users’ privacy. To understand the potentials of this design direction we created and evaluated a low-fidelity prototype intended for photo sharing within private groups. Our prototype incorporates two design concepts, namely, FingerPrint and MoodPhotos that leverage users’ consumption history and emotional responses. In this paper, we report user values and user acceptance of this prototype from three participatory design workshops.

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New parents cherish photos of their children. In their homes one can observe a varied set of arrangements of their young ones' photos. We studied eight families with young children to learn about their practices related to photos. We provide preliminary results from the field study and elaborate on three interesting themes that came out very strongly from our data: physical platforms; family dynamics and values; and creative uses of photos. These themes provide an insight into families' perceived values for photo curating, displaying and experiencing them over a longer period. We provide future directions for supporting practices surrounding children's photos.

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In this paper we present a robust method to detect handwritten text from unconstrained drawings on normal whiteboards. Unlike printed text on documents, free form handwritten text has no pattern in terms of size, orientation and font and it is often mixed with other drawings such as lines and shapes. Unlike handwritings on paper, handwritings on a normal whiteboard cannot be scanned so the detection has to be based on photos. Our work traces straight edges on photos of the whiteboard and builds graph representation of connected components. We use geometric properties such as edge density, graph density, aspect ratio and neighborhood similarity to differentiate handwritten text from other drawings. The experiment results show that our method achieves satisfactory precision and recall. Furthermore, the method is robust and efficient enough to be deployed in a mobile device. This is an important enabler of business applications that support whiteboard-centric visual meetings in enterprise scenarios. © 2012 IEEE.

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Digital image

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http://www.archive.org/details/franciscanmissio027190mbp

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Three photographs of a dog. In one photo he is sitting on a stone wall, in another, in front of a porch, and finally on top of a patio table.

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Photos of the library by Andy Vowles

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This PowerPoint outlines the main points that you need to consider when adding figures to your thesis, including resolution, file format and copyright.