Abstract: An acquisition section 104 acquires a plurality of sets of content data and stores the plurality of sets of content data in a content storage section 132. An editing processing section 110 generates a stream of continuous data obtained by temporally concatenating a plurality of sets of content data. An opening image generation section 114 generates, for each content, a set of opening image data. A clipping processing section 116 clips at least a portion of a set of content image data. A concatenating section 118 generates an edited set of image data obtained by temporally concatenating the set of opening image data and a clipped set of content image data.

Abstract: In a recording and reproducing apparatus and a recording and reproducing method for the recording and reproducing apparatus for recording and reproducing image information on a scene obtained through photographing, relative to a predetermined first recording medium and being capable of setting one or more chapters to each scene, a face recognizing process is executed for a photographed image based on the image information, an importance level of each chapter is set in accordance with a result of the face recognizing process for a very important person (VIP) set by a user, and each chapter having a relevant importance level among importance levels of respective chapters is selectively reproduced. A user can therefore find an object chapter and scene quickly and easily.

Abstract: Disclosed are systems and methods for customizing soundtracks and hairstyles in modifiable videos of multimedia messaging application. An example method includes determining, by a computing device, that a user has provided an instruction to select automatically, based on parameters of a modifiable video, a selfie image for insertion into the modifiable video, where the selfie image is selected from a set of pre-generated selfie images associated with hairstyles, in response to the determination, selecting, by the computing device and based on the parameters of the modifiable video, the selfie image from the set of pre-generated selfie images, and generating, by the computing device and based on the selfie image of the user and the modifiable video, a personalized video of the user, where the personalized video includes at least a part of the selfie image and at least a part of the modifiable video.

Abstract: A computer-implemented method of processing video data comprising a sequence of image frames. The method includes isolating an instance of an object within the sequence of image frames, generating a modified instance of the object using a machine learning model, and modifying the video data to smoothly transition between at least part of the isolated instance of the object and a corresponding at least part of the modified instance of the object over a subsequence of the sequence of image frames.

Abstract: A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.

Abstract: An image processing device includes: an input unit, first image data being a portion of an image with first and second photographic subjects being imaged being inputted therein, the second subject to be displayed after the first, and the first subject again to be displayed by repeating control to shift a portion of the image displayed upon the display unit in a first direction and to display a portion not displayed; and an image generation unit generating, from the first image data, second image data including the first and second subjects, and the second subject is arranged towards the first direction from the first subject, if a first distance by which the image displayed shifts from the first subject being displayed until the second subject is displayed is longer than a second distance by which the image displayed shifts from the second subject until the first subject is displayed.

Abstract: A user device that receives plural strings of data corresponding to physiological data, generated from a training model trained in an unsupervised manner using concurrently implemented loss functions, and using a distance metric, relative to a threshold, applied between the plural strings to provide an indication of authenticity.

Abstract: Disclosed are a video generation method and apparatus, an electronic device, and a computer readable medium. A specific embodiment of the method comprises: obtaining a video footage and an audio footage, the video footage comprising a picture footage; determining a music point of the audio footage, the music point being used for dividing the audio footage into a plurality of audio clips; using the video footage to generate a video clip for each music clip in the audio footage to obtain a plurality of video clips, corresponding music clips and video clips having the same duration; and splicing the plurality of video clips according to the time when music clips respectively corresponding to the plurality of video clips appear in the audio footage, and adding the audio footage as a video audio signal to obtain a composite video.

Abstract: The present disclosure provides a method and device for processing a video. The method includes: determining a special effect video frame of a video, where a target feature area of the special effect video frame includes a preset special effect map; and modifying a display effect of the special effect map upon determining that a shielded area exists in the target feature area.

Abstract: Aspects of the invention include a method including collecting, by a processor, physiological data from a user in an environment and a sound waveform from the user's environment. The method detects and labels as a potential annoyance, by the processor, a set of potential annoyance data based on the collected physiological data and the sound waveform. The method decomposes, by the processor, the sound waveform into a first sound waveform segment associated with the set of potential annoyance data and a second sound waveform segment not associated with the set of potential annoyance data. The method predicts, by the processor, that the potential annoyance is an actual annoyance. The method filters and modifies, by the processor, the first sound waveform segment associated with the actual annoyance and provides, by the processor, the second sound waveform segment not associated with the actual annoyance to the user.

Abstract: Methods and apparatuses are provided for movie and television series video data analysis. The method includes: gathering and reading, by a processor, a plurality of input movies; removing a video border of each input movie; splitting the input movie into short clips, based on accuracy and efficiency requirements of different analyzing models; assessing attributes of each input movie by analyzing, with the different analyzing models, the input movie, the short clips cut from the input movie, and the frame images extracted from the input movie; and summarizing the plurality of input movies based on matching and integrating the attributes assessed for each input movie.

Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.

Abstract: The present disclosure discloses a method and apparatus for extracting a video clip, relates to the field of artificial intelligence technology such as video processing, audio processing, and cloud computing. The method includes: acquiring a video, and extracting an audio stream in the video; determining a confidence that audio data in each preset period in the audio stream comprises a preset feature; and extracting a target video clip corresponding to a location of a target audio clip in the video; wherein the target audio clip is an audio clip within a continuous preset period, and has a confidence that the audio data includes the preset feature, which is larger than a preset confidence threshold. This method may improve the accuracy of extracting a video clip.

Abstract: A method and system provides centralized redundant monitoring suitable for effectively recording and tracking video monitoring systems at a plurality of remote surveillance locations. The method and system are configured to track, monitor, capture, and record video originating from transportation vehicles using a novel technological configuration that minimizes overall and sub-system downtime relative to conventional technologies. The remote surveillance locations are capable of utilizing self-healing and recovery mechanisms and reporting status information to the centralized monitoring system. The centralized monitoring system can use information received from the remote surveillance locations to remotely monitor the status of the remote surveillance systems, to initiate remotely self-healing and recovery mechanisms, and request previously recorded surveillance data and live surveillance data in real time.

Abstract: This disclosure describes a system configured to present primary and secondary, tertiary, etc., virtual reality content to a user. Primary virtual reality content may be displayed to a user, and, responsive to the user turning his view away from the primary virtual reality content, a sensory cue is provided to the user that indicates to the user that his view is no longer directed toward the primary virtual reality content, and secondary, tertiary, etc., virtual reality content may be displayed to the user. Primary virtual reality content may resume when the user returns his view to the primary virtual reality content. Primary virtual reality content may be adjusted based on a user's interaction with the secondary, tertiary, etc., virtual reality content. Secondary, tertiary, etc., virtual reality content may be adjusted based on a user's progression through the primary virtual reality content, or interaction with the primary virtual reality content.

Abstract: A method and an apparatus for generating a video file, a terminal and a storage medium are provided. The method includes: receiving an editing instruction for a video, and presenting at least one video template corresponding to the video; obtaining, in response to a selection instruction for a target video template, a resource set corresponding to the target video template; presenting an editing interface comprising an editing button if it is determined based on the video configuration parameter that the audio data is editable; editing, in response to a clicking operation on the editing button, the audio data to obtain edited audio data; adjusting, based on the edited audio data, a playback parameter of the image data; and performing, based on the edited audio data and the adjusted playback parameter, video file synthesis to obtain a target video file.

Abstract: An electronic apparatus includes an input unit configured to input a time code from an external device, a determination unit configured to determine whether or not a time address of the time code input from the input unit is advancing, a recording unit configured to record a video signal, and a control unit configured to control to cause the recording unit to start recording of the video signal in a case that it is determined by the determination unit that the time address is advancing.

Abstract: One aspect of the invention relates to a fully automatic method for calculating the current, geo-referenced position and alignment of a terrestrial scan-surveying device in situ on the basis of a current panoramic image recorded by the surveying device and at least one stored, geo-referenced 3D scan panoramic image.

Abstract: Aspects of the subject disclosure may include, for example, identifying a media program and receiving a digital media stream including metadata and payload data, wherein the payload data includes program content of the identified media program. The metadata further includes program event information and program status information related to the identified media program. A recording status of the identified media program is determined, wherein an active recording status indicates the identified media program is being recorded at a media recorder. Responsive to the active recording status, an end of program is determined according to the identified media program, the program event information and the program status information. Responsive to the end of program, termination of the recording of the media program is initiated. Other embodiments are disclosed.

Abstract: Techniques are disclosed for performing video synthesis of audiovisual content. In an example, a computing system may determine first facial parameters of a face of a particular person from a first frame in a video shot, whereby the video shot shows the particular person speaking a message. The system may determine second facial parameters based on an audio file that corresponds to the message being spoken in a different way from the video shot. The system may generate third facial parameters by merging the first and the second facial parameters. The system may identify a region of the face that is associated with a difference between the first and second facial parameters, render the region of the face based on a neural texture of the video shot, and then output a new frame showing the face of the particular person speaking the message in the different way.