Uniform access to the cameraverse

Miller, Gregor; Fels, Sidney

doi:10.1145/1865987.1866021

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…We intend our framework to incorporate video from many different sources; we have developed an abstraction over camera and video types for simple access on any platform to live or pre-recorded image data. The Unified Camera Framework (UCF) [6], is a camera access scheme for uniform camera access and configuration. We have created an abstraction layer over image and camera access which supports existing standards, and can support new cameras through its extensible framework.…”

Section: Mobile Multi-view Videomentioning

confidence: 99%

An End-to-End Framework for Multi-view Video Content: Creating Multiple-Perspective Hypervideo to View on Mobile Platforms

Miller

Fels

Ilich

et al. 2011

Entertainment Computing – ICEC 2011

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Abstract. We present a work-in-progress novel framework for the creation, delivery and viewing of multi-view hypermedia intended for mobile platforms. We utilise abstractions over creation and delivery of content and a unified language scheme (through XML) for communication between components. The delivery mechanism incorporates server-side processing to allow inclusion of additional features such as computer vision-based analysis or visual effects. Multi-view video is streamed live to mobile devices which offer several mechanisms for viewing hypermedia and perspective selection.

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Section: Mobile Multi-view Videomentioning

confidence: 99%

An End-to-End Framework for Multi-view Video Content: Creating Multiple-Perspective Hypervideo to View on Mobile Platforms

Miller

Fels

Ilich

et al. 2011

Entertainment Computing – ICEC 2011

Self Cite

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show abstract

“…We have previously developed abstractions within sub-categories of computer vision, including access to and organisation of cameras [16], transport and distribution of vision tasks [2], and investigating the benefits of separating management and analysis of image data [1]. We also developed a conceptual framework for the effective development of computer vision analysis interfaces [17] and began the development of a vision shader language [18]; this paper presents advances on both of these contributions.…”

Section: Introductionmentioning

confidence: 99%

Towards a General Abstraction through Sequences of Conceptual Operations

Miller

Oldridge

Fels

2011

Lecture Notes in Computer Science

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Abstract. Computer vision is a complex field which can be challenging for those outside the research community to apply in the real world. To address this we present a novel formulation for the abstraction of computer vision problems above algorithms, as part of our OpenVL framework. We have created a set of fundamental operations which form a basis from which we can build up descriptions of computer vision methods. We use these operations to conceptually define the problem, which we can then map into algorithm space to choose an appropriate method to solve the problem. We provide details on three of our operations, Match, Detect and Solve, and subsequently demonstrate the flexibility of description these three offer us. We describe various vision problems such as image registration and tracking through the sequencing of our operations and discuss how these may be extended to cover a larger range of tasks, which in turn may be used analogously to a graphics shader language.

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Uniform access to the cameraverse

Cited by 2 publications

References 2 publications

An End-to-End Framework for Multi-view Video Content: Creating Multiple-Perspective Hypervideo to View on Mobile Platforms

An End-to-End Framework for Multi-view Video Content: Creating Multiple-Perspective Hypervideo to View on Mobile Platforms

Towards a General Abstraction through Sequences of Conceptual Operations

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