Abstract: Video information may define video content. The video content may be characterized by capture information. A remote device may transmit at least a portion of the capture information to a computing device. The computing device may identify one or more portions of the video content based on the transmitted capture information. The remote device may receive the identification of the identified portion(s) of the video content from the computing device. The remote device may stream one or more portions of the video information defining at least some of the identified portion(s) of the video content to the computing device. The streamed video information may enable the computing devices to provide a presentation of at least some of the identified portion(s) of the video content using a buffer of the streamed video information, which may allow the computing device to present the video content without permanently storing the video information.

Abstract: A method for synthesising a viewpoint, comprising: capturing a scene using a network of cameras, the cameras defining a system volume of the scene, wherein a sensor of one of the cameras has an output frame rate for the system volume below a predetermined frame rate; selecting a portion of the system volume as an operational volume based on the sensor output frame rate, the predetermined frame rate and a region of interest, the operational volume being a portion of the system volume from which image data for the viewpoint can be synthesised at the predetermined frame rate, wherein a frame rate for synthesising a viewpoint outside the operational volume is limited by the output frame rate; reading, from the sensors at the predetermined frame rate, image data corresponding to the operational volume; and synthesising the viewpoint at the predetermined frame rate using the image data.

Abstract: An electronic endoscope system includes: an electronic endoscope including an image sensor that images a living tissue; a processor that performs image processing on an image obtained by imaging the living tissue; and a display that displays the image on which image processing has been performed. The processor includes: a feature amount calculation unit that calculates, as a feature amount, a ratio between differences of values of two color signals out of a plurality of color signals of each of pixels of the image from a reference value; and an image enhancement processing unit that enhances the image by determining a degree of increase or decrease of at least one of the values of the two color signals on the basis of the calculated ratio so as to perform enhancement processing on the image.

Abstract: Systems and methods are described herein for adjusting the priority of media assets scheduled to be recorded to reflect the current behavior and interests of the user. For example, a household with young children may have scheduled recordings for the DVR with a wide variety of television shows of different genres (e.g., Children's Shows, Sports Games, and Crime Procedurals) and as the children grow up, the preference may gradually shift towards other types of shows. As this shift of interest happens over time, it can be difficult or impossible for the user to change the priority of each of the media assets of the scheduled recordings each time the interests of the user changes an incremental amount.

Abstract: A method and a device for determining a trajectory in off-road scenarios having a first sensor system for capturing a 2D image of an environment; a first computing unit for classifying 2D image points into at least three classes, wherein a first class is “intended for being driven on”, wherein a further class is “can be driven on if necessary” and another class is “cannot be driven on”; a second sensor system for determining a height profile of the environment; a second computing unit for projecting the classified image points into the height profile; and a third computing unit having a trajectory planning algorithm, wherein the third computing unit determines a trajectory using the image points of the first class, wherein the image points of the further class are additionally taken into account in response to an incomplete trajectory in the first class.

Abstract: Systems, methods, and devices are disclosed enabling smart search functionalities utilizing key scene changes appearing in video content. In various embodiments, the method includes the step or process of, while engaged in playback of the video content, receiving a user command at a playback device to shift a current playback position of the video content to a default search playback position (PPDS). In response to receipt of the user command, the playback device searches a time window encompassing the default search playback position (PPDS) for a key scene change in the video content. If locating a key scene change within the time window, the playback device shifts playback of the video content to a playback position corresponding to the key scene change (PPST). Otherwise, the playback device shifts playback of the video content to the default search playback position (PPDS).

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for receiving, by one or more processors, a video comprising one or more shots in a first aspect ratio; detecting a first shot of the one or more shots, the first shot comprising a sequence of frames; and identifying an object that appears throughout a continuous portion of frames of the sequence of frames in the first shot. A visual presentation of the object in the first shot is automatically modified and a modified video comprising the one or more shots in a second aspect ratio is generated based on the automatically modified visual presentation of the object in the first shot.

Abstract: In a monitoring system, the management device causes a display device to display an image generated by capturing by the camera whose direction has been controlled; accepts designation of at least one tracking target, the at least one tracking target being designated from among moving objects in the displayed image by an operator; and performs tracking control comprising controlling a photographing range of the camera in such a way that the designated at least one tracking target is kept captured by the camera.

Abstract: A playback device includes a first generator, a second generator and a combiner. The first generator processes main audio data to output first audio data. The second generator processes additional audio data to output second audio data. The combiner combines the first audio data with the second audio data. While a sampling frequency of the main audio data is different from a sampling frequency of the additional audio data, the second generator generates the second audio data to adjust a playback speed of the additional audio data based on the sampling frequency of the main audio data.

Abstract: A depth camera assembly (DCA) determines distances between the DCA and objects in a local area within a field of view of the DCA. The DCA projects a series of sinusoidal patterns into the local area DCA and captures images of the sinusoidal patterns via a sensor. The DCA determines a distance between the DCA and locations in the local area based on a phase shift each of the sinusoidal patterns captured by each pixel of the sensor. Initially, a calibration offset is determined for each pixel of the sensor by emitting the sinusoidal patterns onto a target at a predetermined distance from the DCA and using phase shifts for a pixel and the predetermined distance to determine the pixel's calibration offset.

Abstract: Three-dimensional (3D) depth imaging systems and methods are disclosed for use in commercial trailer loading. In various aspects, a 3D-depth camera is configured and oriented in a direction to capture 3D image data of a vehicle storage area. A depth-detection application (app) executing on one more processors determines, based on the 3D image data, a void data region, and a floor data region within the 3D image data. Based on the determination of the void data region and the floor data region, the depth-detection app generates an out-of-range indicator that indicates that a wall (e.g., a package wall) situated at a rear section of the vehicle storage area is not detected. The determination that a package wall is not detected causes a dashboard app to modify a graphical representation of the capacity of the vehicle storage area.

Abstract: Methods, systems and computer program products relating to digital microscopy are disclosed. A digital microscopy method may comprise capturing a plurality of overlapping images of a sample, wherein the capturing of at least one of the plurality of images is performed while the sample and a focal plane are in relative motion along an optical axis at a speed greater than zero; and processing the plurality of images using a reference criterion to determine a reference relative arrangement of the focal plane and the sample along the optical axis.

Abstract: A computer-implemented method is provided for capturing one or more image frames of a real-time streaming video using a wrapper module configured to function with a video player. The wrapper module is in electronic communication with a server. The method includes receiving, by the wrapper module, during streaming of the video by the video player, an indication from a user of a current viewing location in the video to initiate image capturing. The method includes capturing, by the wrapper module, one or more image frames from the video based on the indication of the current viewing location. The method also includes transmitting, by the wrapper module, the one or more captured image frames to the server.

Abstract: An apparatus may include a memory to store a recorded video. The apparatus may further include an interface to receive at least one set of sensor information based on sensor data that is recorded concurrently with the recorded video and a video clip creation module to identify a sensor event from the at least one set of sensor information and to generate a video clip based upon the sensor event, the video clip comprising video content from the recorded video that is synchronized to the sensor event.

Abstract: Systems and methods for the selection of resolutions for seamless resolution switching of multimedia content in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a source encoder includes a processor configured by a source encoder application to receive multimedia content, where the multimedia content comprises video data having a primary resolution and a primary sample aspect ratio and encode the video data as a set of alternative streams, where a plurality of the streams in the set of alternative streams have different maximum bitrates and resolutions, the resolution of each of the plurality of streams comprises a width and height that are both an integer number of pixels, and both the width and height of each of the plurality of streams is a common fraction of the width and height of the corresponding primary resolution.

Abstract: A surveillance terminal apparatus includes a storage unit, a communication unit, a picture identifier, a reader, a facial recognition processor, a display unit, and a playback controller. The picture identifier identifies, as an entry picture and an exit picture, a part of the picture of a target person shot by an imaging device and stored in the storage unit. The facial recognition processor identifies both of the entry picture and the exit picture of the same target person, by performing facial recognition with respect to the entry picture and the exit picture read out by the reader. The playback controller changes playback times of the pictures corresponding to actual length of the pictures to the same playback time, when a difference between the playback times of the respective pictures exceeds a threshold, and causes the display unit to simultaneously play back both of the pictures side by side.

Abstract: Systems, devices, and methods, etc., that provide digital audio toolboxes, music kits, digital audio tracks, etc., herein supply digital audio tracks such as music for combination with and synchronization with digital pre-existing media tracks. The toolkits, etc., herein provide users with visual tracks in media, to create, provide and/or synchronize precisely timed tracks used in audio media productions, or otherwise to provide multiple, precisely timed and synced tracks where a music/sound design track from the toolkits is added to a pre-made media track such as a visual footage.

Abstract: Data processing systems and methods are disclosed for combining video content with one or more augmentations to produce augmented video. Objects within video content may have associated bounding boxes that may each be associated with respective RGB values. Upon user selection of a pixel, the RGBA value of the pixel may be used to determine a bounding box associated with the RGBA value. The client may transmit an indicator of the determined bounding box to an augmentation system to request augmentation data for the object associated with the bounding box. The system then uses the indicator to determine the augmentation data and transmits the augmentation data to the client device.

Abstract: Presenting event-specific video content that conforms to a user selection of an event type includes processing at least one video feed through at least one spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of at least one event within the at least one video feed to determine at least one event type, wherein the at least one event type includes an entry in a relationship library at least detailing a relationship between two visible features of the at least one video feed, extracting the video content displaying the at least one event and associating the understanding with the video content in a video content data structure. A user interface is configured to permit a user to indicate a preference for at least one event type that is used to retrieve and provide corresponding extracted video content with the data structure in a new video feed.

Abstract: Producing an event related video content data structure includes processing a video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed. Developing the understanding includes identifying context information relating to the event and identifying an entry in a relationship library at least detailing a relationship between two visible features of the video feed. Content of the video feed that displays the event is automatically extracted by a computer and associated with the context information. A video content data structure that includes the context information is produced.