Several ways are provided for a viewer of a movie to create a deep tag, that is, a bookmark for a segment of the movie. The deep tag can be associated with descriptive text and sent to an address provided by the viewer, either an e-mail address or an instant messaging address. Additionally, before the deep tag is created, it can be checked whether the content owner of the movie is known. If known, the content owner's rules, if any, regarding deep tagging are followed. If unknown, a set of registered content owners can be alerted of the presence of new content. When ownership of the new content is established, the already-created deep tags can be updated in accordance with the content owner's rules, if any, regarding deep tagging.

A method includes generating a text file related to media content. The media content comprises a first segment and a second segment. A first portion of the text file includes a first time of the first segment and represents audio in the first segment or video in the first segment. A second portion of the text file includes a second time of the second segment and represents audio in the second segment or video in the second segment. A search query is received at a playback device, and the playback device plays the media content starting at the second time in response to the search query matching the second portion of the text file.

A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

In one or more implementations, video content generated using a client application may be provided to users of the client application in association with one or more products offered for purchase via the client application. Video content items presented to a user may be identified based on a level of interest of the user in relation to the respective video content items. A level of interest of the user in relation to a video content item may be based on profile information of the user.

The inventive concept relates to a method for producing a multi-reactive video and providing a multi-reactive video service, and a program using the same. It is possible to grasp a user's reaction to a video by recording manipulation details for a specific user's multi-reactive video. For example, it is possible to grasp the object of interest and the degree of interest of a user and to grasp a user interest in the user, by grasping the number of touch manipulations to the user's multi-reactive video, a frame in which a touch manipulation has been performed, and an object in the frame, or the like.

The inventive concept relates to a method for producing a multi-reactive video and providing a multi-reactive video service, and a program using the same. It is possible to grasp a user's reaction to a video by recording manipulation details for a specific user's multi-reactive video. For example, it is possible to grasp the object of interest and the degree of interest of a user and to grasp a user interest in the user, by grasping the number of touch manipulations to the user's multi-reactive video, a frame in which a touch manipulation has been performed, and an object in the frame, or the like.

Methods and apparatus for improving speech recognition accuracy in media content searches are described. An advertisement for a media content item is analyzed to identify keywords that may describe the media content item. The identified keywords are associated with the media content item for use during a voice search to locate the media content item. A user may speak the one or more of the keywords as a search input and be provided with the media content item as a result of the search.

The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning, and an application thereof. In particular, an electronic apparatus, a document displaying method thereof, and a non-transitory computer readable recording medium are provided. An electronic apparatus according to an embodiment of the disclosure includes a display unit displaying a document, a microphone receiving a user voice, and a processor configured to acquire at least one topic from contents included in a plurality of pages constituting the document, recognize a voice input through the microphone, match the recognized voice with one of the acquired at least one topic, and control the display unit to display a page including the matched topic.

Provided are a video title generation method, an electronic device and a storage medium, which relate to a technical field of video, and in particular to a technical field of short video. The method includes: obtaining a plurality of pieces of optional text information, for a first video file; determining central text information, from the plurality of pieces of optional text information, the central text information being optional text information with the highest similarity to content of the first video file; and determining the central text information as a title of the first video file. That is, an interest point in an original video file can be determined according to user's interactive behavior data on the original video file, and the original video file can be clipped based on the interest point to obtain a plurality of clipped video files, namely, short videos.

A playback application is configured to analyze audio frames associated with transitions between segments within a media title to identify one or more portions of extraneous audio. The playback application is configured to analyze the one or more portions of extraneous audio and then determine which of the one or more corresponding audio frames should be dropped. In doing so, the playback application can analyze a topology associated with the media title to determine whether any specific portions of extraneous audio are to be played outside of a logical ordering of audio samples set forth in the topology. These specific portions of extraneous audio are preferentially removed.