CPC G06F 16/75 (2019.01) [G06F 16/735 (2019.01); G06F 16/738 (2019.01); G06F 18/21 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/70 (2017.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01); G06V 20/49 (2022.01); G11B 27/102 (2013.01); G11B 27/34 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30244 (2013.01)] | 18 Claims |
1. An apparatus for training a recognition model, comprising:
at least one program and memory in which the program is recorded; and
a processor for executing the at least one program,
wherein the at least one program includes
a shot composition recognition model generation unit for generating a neural network model for predicting a shot composition and a camera position using a video shot tagged with shot composition information and camera position information as training data, and
a shot time and location recognition model generation unit for generating a neural network model for predicting a shot time and a shot location using a video shot tagged with shot time information and shot location information as training data,
wherein the shot time and location recognition model generation unit comprises a recognition-model training unit for training a shot location recognition model or a shot time recognition model to predict shot location information or shot time information with which the at least one frame is tagged when at least one of a shot composition of an extracted frame, a color distribution of the extracted frame, and a key frame is input.
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