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Automated workflows from media asset differentials

專利號(hào)
US11659214B2
公開日期
2023-05-23
申請(qǐng)人
Netflix, Inc.(US CA Los Gatos)
發(fā)明人
Yadong Wang; Chih-Wei Wu; Kyle Tacke; Shilpa Jois Rao; Boney Sekh; Andrew Swan; Raja Ranjan Senapati
IPC分類
H04N21/2343; G11B27/10; G11B27/031; H04N21/234; G06Q10/0631
技術(shù)領(lǐng)域
media,edits,content,temporally,data,segments,may,sequenced,workflow,object
地域: CA CA Los Gatos

摘要

The disclosed computer-implemented method may include (1) accessing a first media data object and a different, second media data object that, when played back, each render temporally sequenced content, (2) comparing first temporally sequenced content represented by the first media data object with second temporally sequenced content represented by the second media data object to identify a set of common temporal subsequences between the first media data object and the second media data object, (3) identifying a set of edits relative to the set of common temporal subsequences that describe a difference between the temporally sequenced content of the first media data object and the temporally sequenced content of the second media data object, and (4) executing a workflow relating to the first media data object and/or the second media data object based on the set of edits. Various other methods, systems, and computer-readable media are also disclosed.

說明書

In some examples, accessing the first and second media data objects may include identifying storage locations of the first and second media data objects and/or loading the first and second media data objects into memory. In some examples, accessing the first and second media data objects may include decoding, interpreting, and/or rendering the first and second media data objects to access content represented by the first and second media data objects. It may be appreciated that it is conceptually possible that the binary content of two media data objects could be completely different while the rendered content of the two media data objects could be nearly perceptually identical; or, conversely, that the stored binary data of two media data objects could be nearly identical while the rendered content of the two media data objects could be perceptually vastly different. Where comparing media data objects is discussed herein, generally the discussion relates to comparing the content as it would be rendered and temporally sequenced rather than comparing the stored binary data (as it would be sequentially stored).

Furthermore, in some examples, systems described herein may pre-process the first and second media data objects and/or extract one or more features from the first and second media data objects. In some examples, as will be described in greater detail below, these systems may divide the content of the media data objects into segments (e.g., of equal temporal length). Thus, for example, these systems may divide audio content into segments of a specified length (e.g., 4 seconds, 2 seconds, etc.). Likewise, these systems may divide video content into segments, each segment corresponding to one frame of video.

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