Systems and methods for full motion video search are provided. In one aspect, a method includes receiving one or more search terms. The search terms include one or more of a characterization of the amount of man-made features in a video image and a characterization of the amount of natural features in the video image. The method further includes searching a full motion video database based on the one or more search terms.

A method and an apparatus for retrieving teleplay content is disclosed. The method includes: generating basic summary information corresponding to each teleplay based on basic information of entities of each teleplay; generating episode summary information corresponding to each episode of each teleplay based on episode data of each episode of each teleplay; establishing a teleplay graph database based on the basic summary information corresponding to each teleplay and the episode summary information corresponding to each episode; and feeding a playing portal for a target episode of a target teleplay corresponding to teleplay search information back to a user based on the teleplay graph database.

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.

A content device and method is disclosed to include a processing device to process streaming video content. A fingerprinter receives captured frames of the streaming video content and, for each frame of a plurality of the captured frames, generates a one-dimensional histogram function of pixel values and transforms the histogram function with a Fast Fourier Transform (FFT), to generate a plurality of complex values for the frame. The fingerprinter further, for each of the plurality of complex values, assigns a binary one (“1”) when a real part of the complex value is greater than zero (“0”) and assigns a binary zero (“0”) when the real part is less than or equal to zero, to generate a plurality of bits. The fingerprinter further concatenates a specific number of the bits to generate a fingerprint for the frame.

There is provided a method for searching a plurality of information sources using a multimedia element, the method may include receiving at least one multimedia element; generating, by a signature generator, for the at least one multimedia element at least one signature that is unidirectional, and yields compression; generating at least one textual search query using the at least one signature; wherein the generating of the textual search query comprises: (a) searching for at least one matching stored signature that matches one or more of the at least one signature; and (b) using a mapping between stored signatures and textual search queries, selecting at least one textual search query mapped to at least one matching stored signature; searching the plurality of information sources using the at least one textual search query; and causing a display of search results retrieved from the plurality of information sources.

Methods and systems described herein generate content that quickly cycles between different-colored frames at a rapid rate that may be imperceptible to human viewers. The human eye tends to blend nearby frames together, so that a human viewer will see a full color spectrum even though only a single color is displayed at any given time. The video display may repeatedly cycle between individual color frames, thus providing video content that appears normal to a human viewer. However, a video recording device may capture only some of the color frames. Therefore, the video recorded by video recording devices may include undesirable color flicker or other color artifacts, which may deter unauthorized copying.

An electronic device is provided. The electronic device includes a display, at least one processor, and at least one memory configured to store instructions that cause the at least one processor to obtain first information from a first still image frame that is included in a first moving image, obtain second information from the first moving image, identify at least one image function based on at least one of the first information or the second information, and control the display to display at least one function execution object for executing the at least one image function. Various other embodiments can be provided.

A system for automatically analyzing a video recording of a colonoscopy includes a processor and memory storing instructions, which when executed by the processor, cause the processor to receive the video recording of the colonoscopy performed on the colon and detect informative frames in the video recording. A frame is informative if the clarity of the frame is above a threshold or if the frame includes clinically relevant information about the colon. The instructions cause the processor to generate scores indicating severity levels of a disease for a plurality of the informative frames, estimate locations of the plurality of the informative frames in the colon, and generate an output indicating a distribution of the scores over one or more segments of the colon by combining the scores generated for the plurality of the informative frames and the estimated locations of the plurality of the informative frames in the colon.

The invention relates to a method and system for performing content-aware deduplication of video files and content storage cost optimization. The method includes pre-processing video files into a plurality of groups of video files based on type of genre and run-time of a video. The genre of a plurality of video files is automatically detected using a sliding-window similarity index, which is utilized to improve accuracy of genre detection. After the pre-processing step, each group of the plurality of groups of video files are simultaneously fed into a plurality of machine learning (ML) instances and models which measure a degree of similarity corresponding to each group of video files by detecting one or more conditions that exists in the video files. The one or more conditions are detected by performing deep inspection of content in the video files using hash-based active recognition of objects.

Provided are a voice packet recommendation method and apparatus, a device and a storage medium. The method includes selecting at least one target display video for a user from among candidate display videos associated with voice packets and using voice packets to which the at least one target display video belongs as candidate voice packets; selecting a target voice packet for the user from among the candidate voice packets according to attribute information of the candidate voice packets and attribute information of the at least one target display video; and recommending the target voice packet to the user.