Provided is a method of detecting a semantics section in a video. The method includes extracting all video features by inputting an inputted video to a pre-trained first deep neural network algorithm, extracting a query sentence feature by inputting an inputted query sentence to a pre-trained second deep neural network algorithm, generating video-query relation integration feature information in which all of the video features and the query sentence feature have been integrated by inputting all of the video features and the query sentence feature to a plurality of scaled-dot product attention layers, and estimating a video segment corresponding to the query sentence in the video based on the video-query relation integration feature information.

A method is performed at a client device with a display screen, processor(s), and memory storing program(s) for execution by the processor(s). The method comprises obtaining alert events from smart devices at a physical location. The smart devices include a camera located at or in proximity to the physical location. The method further comprises displaying in a scrollable list a chronological sequence of camera event items. Each of the camera event items includes a thumbnail image, a time of the alert event, and one or more activity alert indicators corresponding to predefined activity alert types. The method further comprises receiving a user selection of a first thumbnail image corresponding to a first one of the camera event items, and responsive to the user selection, enabling playback of a video of a first alert event in a video player interface while maintaining display of the scrollable list.

A system for monitoring vital signs includes: an imaging device for acquiring video image files of a living individual; a data analysis system including a processor and memory; a computer program running in the data analysis system to automatically analyze the video images, autonomously identify an area in the images where periodic movements associated with a selected vital sign may be detected and quantified; and, an interface that outputs an electrical signal corresponding to the waveform of the selected vital sign. The system may include a Graphical User Interface, which may display a visual graph of the waveform and a single video frame or a video stream of the individual.

A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

Systems and methods are described herein for updating search results based on a user's comment or a conversation among users using a media guidance application. A set of search results may be presented to a user or users. Comments or a conversation about the search results may be analyzed by the media guidance application. Selected comments by a user determined to have a greater weight may be used to update the search results.

Systems and methods are described herein for providing a search result based on an ambiguous voice query. The system comprises receiving an ambiguous voice query relating to an object from a user, retrieving a viewing history of the user for about a list of media assets viewed by the user, determining, from the list of media asset, a media asset that is likely to contain the object based at least in part on metadata of the media asset and the ambiguous voice query, searching content of the determined media asset to identify a segment within the media asset that contains the object, and generating a display of information about the object identified from the segment.

Systems and methods are described herein for providing a search result based on an ambiguous voice query. The system comprises receiving an ambiguous voice query relating to an object from a user, retrieving a viewing history of the user for about a list of media assets viewed by the user, determining, from the list of media asset, a media asset that is likely to contain the object based at least in part on metadata of the media asset and the ambiguous voice query, searching content of the determined media asset to identify a segment within the media asset that contains the object, and generating a display of information about the object identified from the segment.

There is provided an image processing device and a moving image data generation method capable of easily searching for 3D model data. The image processing device includes: a storage unit that stores a plurality of 3D models and a plurality of 3D model feature amounts respectively corresponding to the plurality of 3D models; a search unit that searches for a 3D model having a feature amount similar to an input feature amount of a subject on the basis of the feature amount of the subject and the 3D model feature amounts stored in the storage unit; and an output unit that outputs the 3D model searched by the search unit. The present technology can be applied to, for example, an image processing device that searches for a 3D model.

An apparatus for visualizing physical movements includes: a device for acquiring video image files; a data analysis system including processor and memory; a computer program operating in the processor to identify an area in the images where periodic motions associated with physical movement of an object may be detected and quantified, and compute a new image sequence in which the motions are visually amplified; and, a user interface that displays the motion-amplified video image of the mechanical component. An associated method for using the apparatus is also disclosed.