Abstract: A server and a control method thereof are provided. The server includes a communicator configured to communicate with an external apparatus; and a processor configured to: receive an image from the external apparatus via the communicator, process the received image by applying a plurality of image analysis models of which an analysis type for the image is different from each other, to the received image, and generate analysis result information about the image respectively corresponding to a plurality of analysis types according to the processing of the received image. With this, more various types of image analysis information may be provided with respect to one image. At least a portion of the analysis of the image, the processing and the generation may be carried out using at least one of a machine learning, a nerve network or a deep learning algorithm as a rule based or artificial intelligence algorithm.

Abstract: The disclosure relates to an electronic apparatus, a method of controlling the same, and a computer program product, the electronic apparatus including: a memory configured to store an instruction; and a processor configured to execute the instruction to: extract video features of frames from a plurality of frames of video content, extract text features from transcript information of the video content, identify importance scores of the frames based on the video features and the text features, and select a key frame of the video content among the plurality of frames based on the identified importance scores. Thus, it is possible to provide faithful information about content to a user through the video summary considering not only the video features but also the text features.

Abstract: The disclosure relates to an electronic apparatus, a method of controlling the same, and a computer program product, the electronic apparatus including: a memory configured to store an instruction; and a processor configured to execute the instruction to: extract video features of frames from a plurality of frames of video content, extract text features from transcript information of the video content, identify importance scores of the frames based on the video features and the text features, and select a key frame of the video content among the plurality of frames based on the identified importance scores. Thus, it is possible to provide faithful information about content to a user through the video summary considering not only the video features but also the text features.

Abstract: A server and a control method thereof are provided. The server includes a communicator configured to communicate with an external apparatus; and a processor configured to: receive an image from the external apparatus via the communicator, process the received image by applying a plurality of image analysis models of which an analysis type for the image is different from each other, to the received image, and generate analysis result information about the image respectively corresponding to a plurality of analysis types according to the processing of the received image. With this, more various types of image analysis information may be provided with respect to one image. At least a portion of the analysis of the image, the processing and the generation may be carried out using at least one of a machine learning, a nerve network or a deep learning algorithm as a rule based or artificial intelligence algorithm.