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Feature extraction and automatic annotation of flash illuminated video data in unconstrained video streams

机译:不受约束的视频流中的闪光视频数据的特征提取和自动注释

摘要

A method of processing video data (1), comprises the steps of extracting the video data (1) into a plurality of frames (2), and analysing the plurality of frames (2) for detecting a flash illumination in the video data (1). Therein, analysing the plurality of frames (2) comprises the steps of partitioning each frame of the plurality of frames (2) into a plurality of segments (31) of a predefined size and calculating an average segment luminance component (41) for each segment of the plurality of segments (31) of each frame of the plurality of frames (2). By partitioning the video frames (2) into smaller segments (31) and subsequently using the transition in luminance component in each segment, an efficient and fine-tuned detection of flash illumination in the video data (1) is possible. Thereby, even flash illumination not affecting the whole frame can be detected which can be of decisive importance. Thus, when applying the method according to the invention flash detection in unconstrained user generated video clips or scenes can be significantly improved and accordingly the video clip and its frames can efficiently and sophistically be classified or rated as containing flash-illumination or not. Also, when detecting frames (2) that contain scenes with flash illumination according to the invention, the risk of incorrect recognition of flash illuminated scenes, e.g., by recognising cut points as flash illuminations, of false alarm can be reduced.
机译:一种处理视频数据的方法(1),包括以下步骤:将视频数据(1)提取到多个帧(2)中;分析多个帧(2),以检测视频数据(1中的闪光) )。其中,分析多个帧(2)包括以下步骤:将多个帧(2)的每个帧划分为预定大小的多个段(31),并为每个段计算平均段亮度分量(41)。多个帧(2)的每个帧的多个段(31)中的一个。通过将视频帧(2)划分为较小的段(31),然后使用每个段中的亮度分量过渡,可以对视频数据(1)中的闪光灯进行高效且精细的检测。由此,甚至可以检测到不影响整个帧的闪光,这可能具有决定性的重要性。因此,当应用根据本发明的方法时,可以显着改善在不受约束的用户生成的视频片段或场景中的闪光检测,并且因此可以有效地并精细地将视频片段及其帧分类或评定为包含或不包含闪光灯。而且,当检测包含根据本发明的具有闪光照明的场景的帧(2)时,例如,通过将切点识别为闪光照明,可以减少错误识别闪光照明的场景的错误警报的风险。

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