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System and method for identifying cognate image sequences

机译:用于识别同源图像序列的系统和方法

摘要

A system and method of identifying cognate image sequences is disclosed that examines significant frames of a stream of video images using an array of image indexes. The image index array includes image indexes obtained by at least two different image indexing methods. These are compared to a corresponding array of image indices of significant frames of known image sequences. An image quality indicator is used to determine which set of image index thresholds to use in making the comparison. These thresholds are more stringent for higher quality frames. Two image sequences are considered cognate when a string of sufficiently many sequential frame matches is established. In an alternate embodiment, image blurriness is also, or instead, used to determine the appropriate set of image index thresholds. The sets of image index thresholds are determined using machine learning on a curated set of representative images.
机译:公开了一种识别同源图像序列的系统和方法,其使用图像索引阵列检查视频图像流的重要帧。图像索引阵列包括由至少两种不同的图像索引方法获得的图像索引。将这些与已知图像序列的显着帧的相应图像指标进行比较。图像质量指示符用于确定用于进行比较的哪些图像索引阈值。对于更高质量的帧来说,这些阈值更加严格。当建立一个足够多的顺序帧匹配的字符串时,两个图像序列被视为同源。在替代实施例中,图像模糊也是或者,用于确定适当的图像索引阈值集。使用机器学习在策划的代表性图像组上确定图像索引阈值集合。

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