Attention guided MPEG compression for computer animations

Mantiuk, Rafał; Pattanaik, Sumanta

doi:10.1145/984952.984991

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…This saliency-based strategy led to accelerated and improved illumination computation in prerendered animations. Mantiuk et al [22] used a 2D saliency algorithm to guide real-time MPEG compression of an animated 3D scene. In general, estimating saliency in 2D projections of meshes does not sufficiently take into account depth information within the original data, which, as mentioned in [12], is a key stimulus for human perception of a static scene.…”

Section: Related Workmentioning

confidence: 99%

Local-to-global mesh saliency

et al. 2016

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As a measure of regional importance in agreement with human perception of 3D shape, mesh saliency should be based on local geometric information within a mesh but more than that. Recent research has shown that global consideration has a significant role in mesh saliency. This paper proposes a local-to-global framework for computing mesh saliency where we offer novel solutions to solve three inherent problems: (1) an algorithm based on statistic Laplacian which does not only compute local saliency, but also facilitates the later computation of global saliency; (2) a local-to-global method based on pooling and global distinctness to compute global saliency; (3) a framework to integrate local and global saliency. Experiments demonstrate that our approach can effectively detect salient features consistent with human perceptual interest. We also provide comparisons to existing state-of-the-art methods for mesh saliency and show improved results produced by our method.

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Section: Related Workmentioning

confidence: 99%

Local-to-global mesh saliency

et al. 2016

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“…Existing methods of such techniques are either for simple [62] or predefined [41] regions, specialized with volume rendering [4,61], or application-dependent [60], although MPEG presumably has interactive 3D content functionality [10]. In our system, the screen compression rate is dynamically changed according to user interaction.…”

Section: Quality Adjusted Screen Transfermentioning

confidence: 99%

Communication Platform for Image Analysis and Sharing in Biology

Murakami

Tawara

Nishimura

et al. 2014

IJNC

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Image analysis is crucial to medical and biological applications. Recent advances in imaging technology have led to the demand for processing and visualizing a large amount of three-dimensional (3D) biomedical images. In addition, cloud computing has become popular for managing big data. Unfortunately, conventional image-processing systems either lack cloud computing services or advanced 3D processing abilities. In this paper, we present a novel cloud-based system for sharing, processing, and visualizing 3D biomedical images. Our system employs a standard web browser as a client interface that interactively communicates with high-performance servers. Thus, an inexpensive tablet PC without an advanced graphics processing unit (GPU) can be used for 3D image processing and visualization. Our system provides the sharing of limited software and hardware resources, and it allows for effective collaboration between researchers. We demonstrate the applicability and functionality of the system by examining typical case studies on biomedical images. We also examine the performance of our system numerically.

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“…With the introduction of inexpensive graphics devices with enormous computational power, more attempts are made to parallelize the visual saliency models, for example Longhurst et al [12] used the saliency map for selective rendering; Mantiuk et al [13] combined real-time rendering, MPEG4 video compression and visual attention to deliver real-time low-bandwidth computer animation. All these parallel implementations use channels for the static information only, and also use simplified versions of the static model to get real-time capability.…”

Section: Related Workmentioning

confidence: 99%

Parallel implementation of a spatio-temporal visual saliency model

Rahman

Houzet

Pellerin

et al. 2010

J Real-Time Image Proc

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International audienceThe human vision has been studied deeply in the past years, and several different models have been proposed to simulate it on computer. Some of these models concerns visual saliency which is potentially very interesting in a lot of applications like robotics, image analysis, compression, video indexing. Unfortunately they are compute intensive with tight real-time requirements. Among all the existing models, we have chosen a spatio-temporal one combining static and dynamic information. We propose in this paper a very efficient implementation of this model with multi-GPU reaching real-time. We present the algorithms of the model as well as several parallel optimizations on GPU with higher precision and execution time results. The real-time execution of this multi-path model on multi-GPU makes it a powerful tool to facilitate many vision related applications

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Attention guided MPEG compression for computer animations

Cited by 12 publications

References 8 publications

Local-to-global mesh saliency

Local-to-global mesh saliency

Communication Platform for Image Analysis and Sharing in Biology

Parallel implementation of a spatio-temporal visual saliency model

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