The field of the invention relates to methods, systems and computer program products for navigating digital media content, in particular for navigating digital media content using an interface abstracted from that digital media content instead of, or as a supplement to, traditional user interface controls. There is provided a method for presenting a user interface to an end user to facilitate the searching, browsing and/or navigation of digital media content, the method comprising the steps of: (a) analysing the digital media content to create “hooks” related to the digital media content, or retrieving “hooks” in the digital media content, and (b) replacing or augmenting a graphical or textual representation of the digital media content with the “hooks.”

A method for searching a video and equipment with a video search function are provided. The method for searching a video includes constructing a video DB by analyzing continuity of a tag given to an appearing object and extracting section information about the tag, and detecting video information. An object may be recognized, a video database may be constructed, and a video may be searched on the basis of analysis based on an artificial intelligence (AI) model through a 5G network.

A method for searching a video and equipment with a video search function are provided. The method for searching a video includes constructing a video DB by analyzing continuity of a tag given to an appearing object and extracting section information about the tag, and detecting video information. An object may be recognized, a video database may be constructed, and a video may be searched on the basis of analysis based on an artificial intelligence (AI) model through a 5G network.

An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.

A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.

A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.

Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

A system for process shaping in a retail store environment comprises a video generation and processing component, a data source integration and aggregation component for aggregating and integrate information received from various sources, a process sensing component for generating one or more continuous processes, a process aggregator and weighing component for aggregating the one or more continuous processes into a merged weighted process, a proof of problem and value component for determining one or more process variations, a ripple effect analyser for sending one or more nudging messages to the retail store environment, and a gamified feedback algorithm component for communicating a nudging action corresponding to a nudging message, to one or more entities in the retail store environment.

Systems and methods are described herein for a media guidance application that detects, and responds to, a user's review of video content on a media device. The media guidance application detects a rewind operation during playback of a video comprising a media asset. In response, the media guidance application determines if the playback position reached during the rewind operation occurs during a first break in the media asset and, if so, identifies objects depicted in the video at the playback position, and presents auxiliary video relating to an object at a second break in the media asset.

A system and method perform cross-modal information retrieval, by generating a graph representing the set of media objects. Each node of the graph corresponds to a media object and is labeled with a set of features corresponding to a text part of the respective media object. Each edge between two nodes represents a similarity between a media part of the two nodes. A first relevance score is computed for each media object of the set of media objects that corresponds to a text-based score. A second relevance score is computed for each media object by inputting the graph into a graph neural network. The first relevance score and the second relevance score are combined to obtain a final ranking score for each media object.