Video playback device and control method thereof
Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.
1. A device comprising:
a memory storing at least one program and a first video;
a display; and
at least one processor configured to display the first video on at least one portion of the display by executing the at least one program,
wherein the at least one program comprises instructions for:
comparing an aspect ratio of the first video with an aspect ratio of a display area of the display;
generating an expanded video corresponding to the aspect ratio of the display area when the aspect ratio of the first video is different from the aspect ratio of the display area; and
displaying the expanded video in the display area,
wherein the generating the expanded video comprises:
identifying a letterbox to be displayed in the display area when the aspect ratio of the first video is different from the aspect ratio of the display area;
determining a category of the first video based on at least one frame included in the first video;
selecting one of previously generated expanded video modules related to the category of the first video; and
generating the expanded video by inputting at least one frame of the first video to an artificial intelligence (AI) neural network, the expanded video having an aspect ratio corresponding to the aspect ratio of the display area, wherein the AI neural network comprises the selected previously generated expanded video module, and
wherein the generating the expanded video by inputting the at least one frame of the first video to the AI neural network comprises generating a frame of the expanded video corresponding to a reference frame included in the first video by inputting the reference frame and a resized frame obtained by resizing the reference frame to the AI neural network.
2. The device of claim 1 , wherein the generating of the expanded video further comprises:
extracting frames included in the first video;
generating training data to be input to the AI neural network based on the extracted frames; and
generating the expanded video by training the AI neural network by inputting the training data to the AI neural network.
3. The device of claim 1 , wherein the device further comprises a communicate interface configured to transmit the first video to a server and receive, from the server, the AI neural network generated by the server using the first video, and
the expanded video is generated by inputting at least one frame of the first video to the AI neural network received from the server.
4. The device of claim 1 , wherein the generating of the expanded video comprises generating the frame of the expanded video corresponding to the reference frame included in the first video by training the AI neural network by inputting the reference frame, at least one previous frame, and at least one next frame, to the AI neural network.
5. The device of claim 1 , wherein the device further comprises a communicate interface configured to perform communication through the Internet, and
the generating of the expanded video comprises:
detecting at least one of a pattern and a color constituting the reference frame included in the first video;
searching for an image related to the detected at least one of the pattern and color by using the communicate interface; and
generating the frame of the expanded video corresponding to the reference frame by training the AI neural network by inputting the reference frame and the searched image to the AI neural network.
6. A method of displaying a video, the method comprising:
comparing an aspect ratio of a first video with an aspect ratio of a display area of a display;
generating an expanded video corresponding to the aspect ratio of the display area when the aspect ratio of the first video is different from the aspect ratio of the display area; and
displaying the expanded video in the display area,
wherein the generating the expanded video comprises:
identifying a letterbox to be displayed in the display area when the aspect ratio of the first video is different from the aspect ratio of the display area;
determining a category of the first video based on at least one frame included in the first video;
selecting one of previously generated expanded video modules related to the category of the first video; and
generating the expanded video by inputting at least one frame of the first video to an artificial intelligence (AI) neural network, the expanded video having an aspect ratio corresponding to the aspect ratio of the display area, wherein the AI neural network comprises the selected previously generated video module, and
wherein the generating the expanded video by inputting the at least one frame of the first video to the AI neural network comprises generating a frame of the expanded video corresponding to a reference frame included in the first video by inputting the reference frame and a resized frame obtained by resizing the reference frame to the AI neural network.
7. The method of claim 6 , wherein the generating of the expanded video comprises:
extracting frames included in the first video;
generating training data to be input to the AI neural network based on the extracted frames; and
generating the expanded video by training the AI neural network by inputting the training data to the AI neural network.
8. The method of claim 6 , wherein the generating of the expanded video further comprises:
transmitting the first video to a server; and
receiving, from the server, the AI neural network generated by the server using the first video,
wherein the expanded video is generated by inputting at least one frame of the first video to the AI neural network received from the server.
9. The method of claim 6 , wherein the generating of the expanded video comprises generating the frame of the expanded video corresponding to the reference frame included in the first video by training the AI neural network by inputting the reference frame, at least one previous frame, and at least one next frame, to the AI neural network.
10. The method of claim 6 , wherein the generating of the expanded video comprises:
detecting at least one of a pattern and a color constituting the reference frame included in the first video;
searching for an image related to the detected at least one of the pattern and color;
generating the frame of the expanded video corresponding to the reference frame by training the AI neural network by inputting the reference frame and the searched image to the AI neural network.
11. The device of claim 1 , wherein the determining the category of the first video further comprises identifying an object included in the at least one frame of the first video, and determining the category of the first video according to the object.
12. The device of claim 1 , wherein the category comprises at least one from among a scientific fiction (SF) movie, a documentary, a live performance, a 2D animation, a 3D animation, an augmented reality (AR) video and a hologram video.