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Perceptual synoptic view of pixel, object and semantic based attributes of video

机译：视频的像素，对象和基于语义的属性的感知概要视图

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For a scene, what are the object and semantic based attributes, other than the pixel based attributes, and how do they affect our attentional selection are some of the questions we need to address. We studied the effects of various attributes on our attentional perspective. We described a new saliency prediction model that accounts for different pixel-level attributes as color, contrast and intensity; object level attributes such as size, shape of objects and semantic level attributes as motion and speed of objects. We quantified these attributes based on motion contrast, motion energy and motion chromism. With this in view, we examined the problem of information prioritizing and filtering with emphasis on directing this exercise using object and semantic based attributes of the human attention model. We have evaluated proposed approach on different types of videos for their quantitative and qualitative comparison. The promising results create a gateway for synopsis view. (C) 2016 Elsevier Inc. All rights reserved.
机译：对于场景，除了基于像素的属性以外，还有哪些基于对象和语义的属性以及它们如何影响我们的注意力选择是我们需要解决的一些问题。我们研究了注意属性上各种属性的影响。我们描述了一种新的显着性预测模型，该模型考虑了颜色，对比度和强度等不同的像素级属性；对象级别属性（例如对象的大小，形状）和语义级别属性（例如对象的运动和速度）。我们基于运动对比度，运动能量和运动色度来量化这些属性。有鉴于此，我们研究了信息优先级排序和过滤的问题，重点是使用人类注意力模型的基于对象和语义的属性来指导此练习。我们对不同类型的视频进行了定量和定性比较的评估方法。有希望的结果为概要视图创建了一个网关。 （C）2016 Elsevier Inc.保留所有权利。

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