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Efficiently extract key frames at regular intervals from a sequence based on speed parameter for video summarization and animation.
CGA_FrameExtraction🎞️ is a specialized node designed to efficiently extract key frames from a sequence of frames based on a specified speed parameter. This node is particularly useful in scenarios where you need to condense a large number of frames into a more manageable set of key frames, which can be crucial for tasks such as video summarization, animation, or any application where frame reduction is necessary. By selecting frames at regular intervals, the node ensures that the extracted frames are evenly distributed across the entire sequence, providing a representative snapshot of the original content. This method not only helps in reducing the data size but also maintains the essence of the original sequence, making it easier to process or analyze further.
This parameter represents the total number of frames in the sequence from which key frames will be extracted. It is crucial as it defines the range within which the node operates. The minimum value for this parameter is 1, ensuring that there is at least one frame to process, while the default value is set to 81. Adjusting this parameter affects the number of frames available for selection, thereby influencing the density and distribution of the extracted key frames.
The speed parameter determines the interval at which frames are selected from the total sequence. It essentially acts as a sampling rate, where a higher value results in fewer frames being selected, and a lower value increases the number of key frames. The minimum value is 1, which means every frame is selected, and the default value is 8. This parameter is critical for controlling the granularity of the frame extraction process, allowing you to balance between detail and data reduction.
This output parameter provides a string of comma-separated frame indices that have been selected as key frames. The indices start from 0 and are calculated based on the total number of frames and the specified speed. This output is essential for identifying which frames from the original sequence have been chosen, enabling further processing or analysis of these key frames.
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