Abstract: The present disclosure relates to a display system (1) for generating a composite view of a region behind a vehicle (V) towing a trailer (T). A first camera (C1) is provided for outputting first image data corresponding to a first image (IMG1), the first camera (C1) being configured to be mounted in a rear-facing orientation to the vehicle (V). A second camera (C2) is provided for outputting second image data corresponding to a second image (IMG2), the second camera (C2) being configured to be mounted in a rear-facing orientation to the trailer (T). An image processor (5) receives the first image data and said second image data. The image processor (5) is configured to combine said first image data and said second image data to generate composite image data corresponding to a composite image (IMG3). The present disclosure also relates to a corresponding method of generating a composite image (IMG3), and to a rig made up of a vehicle (V) and a trailer (T).

Abstract: The present disclosure relates to a display system (1) for generating a composite view of a region behind a vehicle (V) towing a trailer (T). A first camera (C1) is provided for outputting first image data corresponding to a first image (IMG1), the first camera (C1) being configured to be mounted in a rear-facing orientation to the vehicle (V). A second camera (C2) is provided for outputting second image data corresponding to a second image (IMG2), the second camera (C2) being configured to be mounted in a rear-facing orientation to the trailer (T). An image processor (5) receives the first image data and said second image data. The image processor (5) is configured to combine said first image data and said second image data to generate composite image data corresponding to a composite image (IMG3). The present disclosure also relates to a corresponding method of generating a composite image (IMG3), and to a rig made up of a vehicle (V) and a trailer (T).

Abstract: An image processing apparatus includes an identifying unit configured to identify a protection region for protecting privacy, a setting unit configured to set, as an image to be used as a background image, an image selected from existing images based on a user operation, and an image combining unit configured to combine a protection image with the protection region identified by the identifying unit and included in the background image set by the setting unit to generate a privacy protection image.

Abstract: A method and a system for automatic video production are provided herein. The method may include the following steps: obtaining a set of media entities, wherein at least one of the media entities comprises a background and at least one foreground object; automatically analyzing the media entities using visual analysis; automatically selecting at least two visual portions, based on the visual analysis; computing, for at least one of the visual portions, semantic segmentation indicative of a support of the at least one foreground object, based on the visual analysis; generating at least one visual effect in which the foreground object and the background undergo two different visual operations; and generating a video production by combining a plurality of the visual portions into one video production, while including the at least one visual effect in the video production.

Abstract: In one example, a device for retrieving video data includes one or more processors configured to receive data describing a sample entry type for a sample of a video bitstream, the sample entry type being one of ‘hev1’ or ‘hev2,’ wherein the sample comprises video data encoded according to one of High-Efficiency Video Coding (HEVC) or layered HEVC (L-HEVC), and wherein one or more other samples including video data precede the sample in the video bitstream in decoding order, and in response to the sample entry type being ‘hev1’ or ‘hev2’ and the sample comprising the video data encoded according to one of HEVC or L-HEVC, retrieve the sample to perform random access using the sample, without retrieving the video data of any of the one or more other samples that precede the sample, and without retrieving parameter sets of any previous samples of the video bitstream in decoding order.

Abstract: A video processing method includes receiving an omnidirectional content corresponding to a sphere, generating a projection-based frame according to the omnidirectional content and a pyramid projection layout, and encoding, by a video encoder, the projection-based frame to generate a part of a bitstream. The projection-based frame has a 360-degree content represented by a base projection face and a plurality of lateral projection faces packed in the pyramid projection layout. The base projection face and the lateral projection faces are obtained according to at least projection relationship between a pyramid and the sphere.

Abstract: In one example, a device for retrieving video data includes one or more processors configured to, in response to determining that a lowest track of a plurality of tracks, the lowest track including a base layer of the video data carrying a lowest sub-layer of the video data, is to include sample entry type values for samples indicating that convenient random access is enabled, set sample entry type values for samples of each of the other tracks of the plurality of tracks that include video data to indicate that convenient random access is enabled, and generate a file including the plurality of tracks, such that the sample entry type values for the tracks of the plurality of tracks indicate that convenient random access is enabled.

Abstract: Methods, systems, and apparatus, including computer program products, for presenting subtitles. A video is played on a display of a device. A display mode for the video is detected. A subtitle is presented in one of a plurality of presentation formats based on the detected display mode.

Abstract: A system and/or method configured to determine highlight segments. Content files that define content in a content segment set may be obtained. A highlight segment set may be determined from the content segment set. Determining the highlight segment set may include iterating (a)-(c) for multiple iterations. At (a), individual content segments included in the content segment set may be selected as a selected content segment for inclusion in the highlight segment set. At, (b) diversity scores for content segments that are (i) included in the content segment set and (ii) not yet selected for inclusion in the highlight segment set may be determined. At (c), one or more of the content segments may be disqualified for inclusion in the highlight segment set for future iterations based on the diversity scores.

Abstract: Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. In one example, best scenes are identified based on the motion values associated with frames or portions of a frame of a video. Motion values are determined for each frame and portions of the video including frames with the most motion are identified as best scenes. Best scenes may also be identified based on the motion profile of a video. The motion profile of a video is a measure of global or local motion within frames throughout the video. For example, best scenes are identified from portion of the video including steady global motion. A video summary can be generated including one or more of the identified best scenes.

Abstract: First video information defining first video content may be accessed. The first video content may have been captured by a first image sensor from a first conveyance position. Second video information defining second video content may be accessed. The second video content may have been captured by a second image sensor from a second conveyance position. A first highlight criterion may be selected for the first video content based on the first conveyance position. A second highlight criterion may be selected for the second video content based on the second conveyance position. A first set of highlight moments within the first video content may be identified based on the first criterion. A second set of highlight moments within the second video content may be identified based on the second criterion. The identification of the first set of highlight moments and the second set of highlight moments may be stored.

Abstract: An apparatus for capture-based telepresence in a virtual environment session, comprises 3D capture devices to continuously capture image data of a first user. A processing unit comprises: an image processor for continuously producing a first 3D representation of the first user based on the image data, the first 3D representation having at least punctually a user specific position in a virtual environment. A data transmitter transmits the first 3D representation for remote use in the virtual environment session. A data receiver continuously receives a second 3D representation of a second user, image data for the virtual environment, and at least punctually receiving user specific position of the second 3D representation relative to the virtual environment. A rendering engine outputs for display the 3D representation of the second user positioned relative to the first user as inserted in the virtual environment based on said user specific positions.

Abstract: Aspects of the present disclosure aim to improve upon methods and systems for the incorporation of additional material into source video data. In particular, the method of the present disclosure may use a pre-existing corpus of source video data to produce, test and refine a prediction model for enabling the prediction of the characteristics of placement opportunities. The model may be created using video analysis techniques which obtain metadata regarding placement opportunities and also through the identification of categorical characteristics relating to the source video which may be provided as metadata with the source video, or obtaining through image processing techniques described below. Using the model, the method and system may then be used to create a prediction of insertion zone characteristics for projects for which source video is not yet available, but for which information corresponding to the identified categorical characteristics is known.

Abstract: Video content may be captured by an image capture device during a capture duration. The video content may include video frames that define visual content viewable as a function of progress through a progress length of the video content. Rotational position information may characterize rotational positions of the image capture device during the capture duration. Time-lapse video frames may be determined from the video frames of the video content based on a spatiotemporal metric. The spatiotemporal metric may characterize spatial smoothness and temporal regularity of the time-lapse video frames. The spatial smoothness may be determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames, and the temporal regularity may be determined based on moments corresponding to the time-lapse video frames. Time-lapse video content may be generated based on the time-lapse video frames.

Abstract: An image processing apparatus includes a separation unit, a Bayer image signal supply unit, and a signal processing unit. The separation unit separates and removes, in input image signals in which pixel signals each including an invisible light component are arranged in an array different from a Bayer array, the invisible light components from the pixel signals. The Bayer image signal supply unit arranges the pixel signals from which the invisible light components have been removed in the Bayer array and supplies the pixel signals as Bayer image signals. The signal processing unit subjects the Bayer image signals to predetermined signal processing.

Abstract: A system (10) for compositing a scene comprising a captured video image and a computer-generated background image, the system comprising: at least one video camera (12, 14, 16) for recording and storing a raw video image (22, 24, 26) of a scene and for outputting a working video image of the scene; a selector switch (20) operatively interposed between each of the video cameras (12, 14, 16) and a real-time compositor (18) for feeding a selected one of the working video images (22) at any given time to the real time compositor (18); the real time compositor (18) being adapted to incorporate a first CGI image (28) into the selected working video image (22) and to display a composite video image (32) representative of the final shot on a display screen (34); the system (10) further comprising: a data storage device (41) adapted to store an archive copy of the raw video images (22, 24, 26) from each of the video cameras (12, 14, 16) and a second compositor (30) operatively connected to the data storage device (41)

Abstract: In a measuring device, a second objective optical system is arranged to have a parallax with respect to a first objective optical system. An imaging unit captures a first subject image formed through the first objective optical system at a first imaging timing and captures a second subject image formed through the second objective optical system at a second imaging timing different from the first imaging timing. A virtual image generating unit generates a virtual image based on the first subject image acquired in a case in which the imaging unit is assumed to capture the first subject image at the second imaging timing. A measurement processing unit measures a shape of a subject on the basis of a second image based on the second subject image and the virtual image.

Abstract: A method and apparatus of processing content, such as, video and/or audio are disclosed. The operations of processing content may include receiving user input, such as, a content file, a type of content format, and a content destination. Other operations include determining necessary operations needed to complete the content processing and determining the applications available to the user on a local machine used by the user. The operations further include determining whether the user's local machine includes the necessary applications to perform the content processing, and determining a codec that will be used to process the content, and formatting the content using the codec and distributing the content to the content destination.

Abstract: A main stream contains successive content elements of video and/or audio information that encode video and/or audio information at a first data rate. A computation circuit (144) computes main fingerprints from the successive content elements. A reference stream is received having a second data rate lower than the first data rate. The reference stream defines a sequence of the reference fingerprints. A comparator unit (144) compares the main fingerprints with the reference fingerprints. The main stream is monitored for the presence of inserted content elements between original content elements, where the original content elements have main fingerprints that match successive reference fingerprints and the inserted content elements have main fingerprints that do not match reference fingerprints. Rendering of inserted content elements to be skipped. In an embodiment when more than one content element matches only one is rendered.

Abstract: A method for displaying content between loops of a looping media item is provided herein. The method includes receiving a request for a primary media item and determining that the requested primary media item is a looping media item. The method further includes identifying a secondary media item for the primary media item, and providing the primary media item and the secondary media item for presentation between loops of the primary media item.