Salient video stills: content and context preserved

Laura Teodosio, W. Bender
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引用次数: 231

Abstract

A new class of images called salient stills is demonstrated and a software development platform for their creation is discussed. These images do not represent one discrete moment of time, as do a photograph or single video frame. Rather, one image reflects the aggregate of the temporal changes that occur in a moving image sequence with the salient features preserved. By the application of an affine transformation and non-linear temporal processing, multiple frames of an image sequence, which may include variations in focal-length or field-of-view, are combined to create a single still image. The still image may have multi-resolution patches, a larger field-of-view, or higher overall resolution than any individual frame in the original image sequence. It may also contain selected salient objects from any one of the sequence of video frames. The still can be created automatically or with user intervention. A by-product of the salient still process is a structured representation of moving image data.
突出的视频剧照:内容和背景保存
展示了一类新的图像,称为显著静止,并讨论了他们的创建软件开发平台。这些图像不像一张照片或一个视频帧那样代表一个离散的时刻。相反,一幅图像反映了在保留显著特征的运动图像序列中发生的时间变化的集合。通过应用仿射变换和非线性时间处理,一个图像序列的多个帧,其中可能包括焦距或视场的变化,结合起来创建一个单一的静止图像。静止图像可以具有比原始图像序列中的任何单独帧更高的多分辨率补丁、更大的视场或更高的总体分辨率。它还可以包含从视频帧序列中的任何一个中选择的显著对象。蒸馏器可以自动创建,也可以用户干预。显著静止过程的副产品是运动图像数据的结构化表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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