Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry decodes, from a coded video bitstream, coding information for a current picture. The coding information indicates that a geometric merge mode is enabled for a coding level higher than a picture level of the current picture and a maximum number of merge candidates satisfies a condition. The processing circuitry determines, based on a picture level parameter signaled for the current picture in the coded video bitstream, a maximum number of geometric merge mode merge candidates based on the picture level parameter and the maximum number of merge candidates. The maximum number of geometric merge mode merge candidates can be (i) 0 or (ii) one of 2 to the maximum number of merge candidates. The picture level parameter indicates the maximum number of geometric merge mode merge candidates.

Abstract: An acquisition circuit acquires first position information indicating a position and a first image captured by a camera at the position indicated by the first position information. A memory stores second position information indicating a prescribed position on a map and feature information extracted from a second image corresponding to the prescribed position. The second position information is associated with the feature information. A processor estimates the position indicated by the first position information on the basis of the second position information in the case that the position indicated by the first position information falls within a prescribed range from the prescribed position indicated by the second position information and the first image corresponds to the feature information.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: The disclosure provides a video decoding method and a video decoding device. An initial stream is received. In a first flow cycle, entropy decoding is performed on a plurality of first frames in parallel according to the initial stream by a plurality of entropy decoders of a plurality of processing cores, so as to generate a plurality of first decoded streams respectively corresponding to the first frames. In the first flow cycle, a second decoded stream is decoded by a plurality of coding tree unit decoders of the processing cores, so as to reconstruct a second frame.

Abstract: Systems and methods are described for reducing the complexity of using bi-directional optical flow (BIO) in video coding. In some embodiments, bit-width reduction steps are introduced in the BIO motion refinement process to reduce the maximum bit-width used for BIO calculations. In some embodiments, simplified interpolation filters are used to generate predicted samples in an extended region around a current coding unit. In some embodiments, different interpolation filters are used for vertical versus horizontal interpolation. In some embodiments, BIO is disabled for coding units with small heights and/or for coding units that are predicted using a sub-block level inter prediction technique, such as advanced temporal motion vector prediction (ATMVP) or affine prediction.

Abstract: A method comprising: obtaining a block of a picture or a picture in an encoder; determining if the block/picture is used for on-line learning; if affirmative, encoding the block/picture; reconstructing a coarse version of the block/picture or the respective prediction error block/picture; enhancing the coarse version using a neural net; fine-tuning the neural net with a training signal based on the coarse version; determining if the block/picture is enhanced using the neural net; and if affirmative, encoding the block/picture with enhancing using the neural net.

Abstract: An imaging device includes at least one unit pixel cell including a photoelectric converter and a voltage application circuit. The photoelectric converter includes a first electrode, a light-transmitting second electrode, a first photoelectric conversion layer containing a first material and a second photoelectric conversion layer containing a second material. The impedance of the first photoelectric conversion layer is larger than the impedance of the second photoelectric conversion layer. The voltage application circuit applies a first voltage or a second voltage having a larger absolute value than the first voltage selectively between the first electrode and the second electrode.

Abstract: Provided is an image decoding method performed by a decoding apparatus, which includes: decoding a first coding tree unit (CTU) in a current picture; storing motion information of the first CTU in a line buffer; and decoding a second CTU in the current picture by using the motion information of the first CTU stored in the line buffer, in which the first CTU is located around a left side of the second CTU or located around a top of the second CTU.

Abstract: A method of performing motion vector prediction for a current block in a picture is provided which includes: deriving a candidate for a motion vector predictor to code a current motion vector of the current block, from a first motion vector of a first block that is spatially adjacent or temporally adjacent to the current block; adding the derived candidate to a list of candidates; and deriving at least one motion vector predictor based on a selected candidate from the list of candidates, wherein the deriving of the candidate includes determining whether to derive the candidate from the first motion vector, based on a type of a current reference picture and a type of a first reference picture, the current reference picture being referred to from the current block using the current motion vector, the first reference picture being referred to from the first block using the first motion vector.

Abstract: Innovations in adaptive encoding and decoding for units of a video sequence can improve coding efficiency when switching between color spaces during encoding and decoding. For example, some of the innovations relate to adjustment of quantization or scaling when an encoder switches color spaces between units within a video sequence during encoding. Other innovations relate to adjustment of inverse quantization or scaling when a decoder switches color spaces between units within a video sequence during decoding.

Abstract: Embodiments of the disclosure provide systems and methods for processing video content. The method can include: receiving raw video data of a video; determining a texture complexity for the video based on the raw video data; determining an encoding mode for the raw video data based on the texture complexity; and encoding the raw video data using the determined encoding mode.

Abstract: A camera mounting system and a method for processing images are disclosed. The system includes an external component configured to capture thermal images, and an internal component configured to receive the thermal images. The thermal images are wirelessly transmitted by the external component, the external component is coupled to the internal component via a glass, and the internal component is further configured to wirelessly power the external component.

Abstract: Present Invention provides a method of virtual reality image transition configured to implement frame synchronization by controlling transit time among image segmentation expressing virtual reality comprises, (a) determining a key frame distance (KFD) of image segmentation expressing a part of original image for implementing virtual reality, (b) implementing frame synchronization between image segmentation before and after transition by executing a transition of image segmentation only in a key frame among frames composing image segmentation, when reproduced image segmentation is transited as the user's gaze changes.

Abstract: When streaming content such as movies, music, or audiobooks for presentation, changes in conditions or unavailable frames may result in stutters or other negative experiences during presentation. Described herein are techniques and systems for extrapolating one or more frames based on previously received data. When an unavailable frame is determined, an interpolated frame is generated for presentation in place of the unavailable frame. The interpolated frame may be generated based on other frames that were received out of sequence, such as frames for presentation subsequent to the unavailable frame, as well as frames for presentation prior to the unavailable frame.

Abstract: Sampling grid information may be determined for multi-layer video coding systems. The sampling grid information may be used to align the video layers of a coding system. Sampling grid correction may be performed based on the sampling grid information. The sampling grids may also be detected. In some embodiments, a sampling grid precision may also be detected and/or signaled.

Abstract: Systems and associated methods are described for providing recording of a blacked out media content item. A system receives a request from a first user device associated with a profile to record a media content item scheduled to broadcast on a second user device (different from the first user device) associated with the profile, at a second location. The system determines that the media content item is subject to a blackout during a blackout period within a blackout region. The system determines that the first user device and the second user device are associated with the same profile and that the first user device is at a first location outside the blackout region. The system then accesses the media content item for recording on the second user device during the blackout period. The system further transmits the recorded media content item to the first user device after expiry of the blackout period.

Abstract: Certain exemplary embodiments relate to entertainment systems and, more particularly, certain exemplary embodiments relate to jukebox systems that incorporate digital downloading jukebox features along with karaoke jukebox and/or photo booth features. A combined karaoke/photo booth/jukebox may enable more integrated performance-like experiences in an in-home or out-of-home location or venue. By leveraging vast audio media libraries, trusted rights-respecting network infrastructure, and on-site image/video capturing from integrated recorders and/or remote portable devices, a more sociable experience may be created for karaoke jukebox patrons, e.g., where custom content can be generated and shared in a safe and legally appropriate manner.

Abstract: A system for operating surgical imaging devices using configurable processing resources of a virtual camera control unit connected to a network includes an allocation manager for allocating processing resources, a primary imaging device, a secondary imaging device, a feature module, and a load balance module. The load balance module adjusts one or more settings of one or more features of the primary and secondary imaging devices based on the available processing resources and the desired settings of the one or more features.

Abstract: A system for registering one or more cameras and/or creating an accurate three-dimensional (3D) model of a world space environment including back projecting at least one image from at least one of a plurality of camera views to the 3D model based on a set of existing camera parameters. The back projected image is added as a texture for the 3D model. This texture is automatically compared to one or more images from other camera views using a color space comparison of images to determine a set of differences or errors. The camera parameters and the 3D model are automatically adjusted to minimized the differences or errors. Over time, the parameters and the 3D model converge on a state that can be used to track moving objects, insert virtual graphics and/or perform other functions.