Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry decodes prediction information of a current block in a current picture from a coded video bitstream. The prediction information is indicative of an inter prediction mode. Then, the processing circuitry determines a usage of a first DMVD process on the current block at least partially based on a second DMVD process not being used on the current block. Further, the processing circuitry reconstructs the current block according to the inter prediction mode with the first DMVD process.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data including a reference view and a current view is received. A co-located block in the reference view is identified for a current block in the current view. A predicted block vector is calculated based on an offset vector between the current block and the co-located block, and a disparity vector between the co-located block and the reference block in the reference view. The video data is encoded/decoded based on the calculated predicted block vector.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to encode or decode video data. A current block of video data is coded using affine prediction. A first set of candidates of a candidate list for the current block is generated, including determining one or more inherited candidates and deriving one or more constructed candidates. After generating the first set of candidates, it is determined whether the candidate list is full. Upon determining the candidate list is not full, the candidate list is filled by generating a second set of candidates of the candidate list, including one or more of generating one or more zero motion vector candidates, generating one or more additional derived candidates based on the plurality of associated neighboring blocks of the current block, and generating a temporal motion vector candidate based on a temporal collocated picture.

Abstract: The present disclosure provides an image processing method and device, which are applied to the technical field of image processing, wherein the method comprises: dividing an infrared decompression image with block artifacts into image blocks distributed in a rectangular array; acquiring boundary gray information of the image blocks, and then determining boundary drop information of each image block and its adjacent image block, thereby obtaining drop information of the image block; constructing a constraint optimization objective function of the image based on the boundary drop information, the drop information and preset compensation information; determining a target compensation matrix according to the constraint optimization objective function, wherein each element value in the target compensation matrix is a target value of compensation information of an image block, the position of which in the image is the same as the position of the element value in the target compensation matrix.

Abstract: A method of decoding video data including determining a first region of a transform unit in which transform coefficients are subject to zero-out, determining a second region of the transform unit in which transform coefficients are not subject to zero-out, and scanning only the second region of the transform unit.

Abstract: Methods and apparatuses that apply a hierarchical-decomposition reinforcement learning technique to train one or more AI objects as concept nodes composed in a hierarchical graph incorporated into an AI model. The individual sub-tasks of a decomposed task may correspond to its own concept node in the hierarchical graph and are initially trained on how to complete their individual sub-task and then trained on how the all of the individual sub-tasks need to interact with each other in the complex task in order to deliver an end solution to the complex task. Next, during the training, using reward functions focused for solving each individual sub-task and then a separate one or more reward functions focused for solving the end solution of the complex task. In addition, where reasonably possible, conducting the training of the AI objects corresponding to the individual sub-tasks in the complex task, in parallel at the same time.

Abstract: A video processing device which can be implemented as a peripheral device is disclosed. The video processing device is configured to receive one or more videos and audio through a plurality interfaces. Further, the device receives one or more user input corresponding to one or more customization requests of the received video and the audio. The video processing device processes the video and the audio based on the received user input and outputs the processed video and audio via an output interface.

Abstract: An apparatus comprises a store (201) storing a set of image parts and associated depth data for images representing a scene from different view poses (position and orientation). A predictability processor (203) generates predictability measures for image parts of the set of images for view poses of the scene. A predictability measure for a first image part for a first view pose is indicative of an estimate of the prediction quality for a prediction of at least part of an image for a viewport of the first view pose from a subset of image parts of the set of image parts not including the first image part. A selector (205) selects a subset of image parts of the set of image parts in response to the predictability measures, and a bitstream generator (207) for generating the image bitstream comprising image data and depth data from the subset of image parts.

Abstract: Various embodiments include a system and method that enhance the visualization of selected individual images from a real-time scan. The method can include acquiring ultrasound image data at an ultrasound system. The method may include processing the acquired ultrasound image data according to cine sequence processing parameters to generate a cine sequence. The cine sequence includes a plurality of frames, each of the frames having a first resolution. The method can include receiving a trigger. The method may include processing the acquired ultrasound image data according to still image processing parameters in response to the trigger to generate a still image. The still image has a second resolution that is higher than the first resolution.

Abstract: Embodiments of the disclosure provide a method and apparatus for processing video signals. An image signal decoding method according to an embodiment of the disclosure comprises the steps of: determining, on the basis of the height and width of a current block, an input length and output length of a non-separable transform; determining a non-separable transform matrix corresponding to the input length and output length of the non-separable transform; and applying the non-separable transform matrix to the current block, wherein, when the height and width of the current block are 4 each, the input length and output length of the non-separable transform are determined to be 8 and 16 respectively.

Abstract: Disclosed are a driver assistance apparatus and a control method for the same. The driver assistance apparatus includes at least one camera configured to generate a main image by capturing an image of a periphery of a vehicle, a communication unit configured to receive a plurality of sub images generated by at least one other vehicle, and a processor configured to: select at least one of the sub images based on a predetermined condition or user input; and to generate an expanded image using the main image and the selected sub image.

Abstract: An electronic apparatus and a method for generation of media content having multi-focus video and multi-directional audio, is provided. The electronic apparatus includes an image-capture device and determines plurality of focus windows on a field-of-view (FOV) region of the image-capture device. The electronic apparatus control the audio-capture device to capture a plurality of audio references based on the determined plurality of focus windows. The electronic apparatus further controls the image-capture device to capture a sequence of image frames of the FOV region. Each image frame of the sequence of image frames is captured while a focus point of the image-capture device is set on a corresponding focus window of the determined plurality of focus windows. The electronic apparatus generates media content based on the captured sequence of frames and captured plurality of audio references.

Abstract: An apparatus for activation control of an external display device for a meeting management device is disclosed. A method and a computer program product perform one or more functions of the apparatus. In one embodiment, the apparatus includes a data transmitter that sends at least one of image data and sound data from an information processing device to an external device that outputs at least one of an image and sound, a signal transmitter that sends a wireless control signal for activating or inactivating the external device, and a device state detector that determines whether the external device is active.

Abstract: A reception device including processing circuitry is provided. The processing circuitry is configured to receive a video stream that includes, for each of a plurality of units of N consecutive pictures of a plurality of pictures, an encoded averaged picture and encoded N?1 of the N consecutive pictures of the respective unit. The averaged picture is generated based on an averaging process in which a non-linear average of the N consecutive pictures of the respective unit is calculated with different gains. The video stream includes a first sub-layer having the encoded averaged pictures and a second sub-layer having the encoded N?1 pictures of the plurality of units. The processing circuitry is configured to receive information including averaging process information indicating a method for the averaging process, and process the received video stream in accordance with the averaging process information.

Abstract: The present disclosure describes systems and methods for acquiring a biometric image. A biometric camera system can position a lens of a biometric camera between a pixel array of the biometric camera and an iris. The pixel array can acquire an image of the iris using light reflected from the iris and transmitted through the lens of the biometric camera. The lens can increase a pixels per iris (PPi) value of the image of the iris acquired by the pixel array, by applying optical positive distortion to the light reflected from the iris when the light is optically directed through the lens. A processor can provide a biometric image for biometric matching, by image-processing the acquired image of the iris having the increased PPi value, with an inverse function of the optical positive distortion.

Abstract: Provided is a binocular camera depth calibration method, a binocular camera depth calibration device, a binocular camera depth calibration system and a storage medium. The method includes: acquiring a plurality of groups of images of a 2D code calibration board at different positions so as to acquire disparity maps of the 2D code calibration board; acquiring a 2D code template image of a target region; matching the 2D code template image, so as to determine and store matching region information; determining a position of the 2D code template image in each disparity map in accordance with the matching region information, and calculating an average disparity value of the 2D code template image at the position; acquiring a plurality of groups of average disparity values, and calculating a final disparity value; and calibrating a depth of a binocular camera.

Abstract: The present invention relates to a method and apparatus for encoding or decoding a video signal. According to the present invention, a plurality of reference units for image prediction of the current unit is acquired and combined to obtain a unit prediction value, thereby improving the accuracy of image prediction. More particularly, the present invention relates to a method for inducing a variety of reference units using a motion vector prediction value or a motion vector which is used in conventional inter-prediction, and also relates to a method which combines the reference units so as to obtain the prediction value for the current unit. In addition, the present invention relates to a method which involves acquiring a plurality of reference units for a merging mode, and combining the reference units so as to perform image prediction.

Abstract: A method and an apparatus are provided for encoding and/or decoding digital images or video streams. The encoding apparatus includes a processor configured for reading at least a portion of an image (f), determining a rotation angle (?) on the basis of the portion of the image (f), determining rotated transform matrix (V?) which is the result of a rotation of at least one basis vector of a Discrete Cosine Transform matrix (V) by the rotation angle (?), computing transformed coefficients (f{circumflex over (?)}) on the basis of the pixel values contained in the portion of the image (f) and the rotated transform information (V?), outputting the transformed coefficients (f{circumflex over (?)}) to the destination.

Abstract: An exemplary image generation system accesses a full atlas frame sequence that incorporates a set of image sequences combined within the full atlas frame sequence as atlas tiles. The system generates a first partial atlas frame sequence that incorporates a first subset of image sequences selected from the set of image sequences incorporated in the full atlas frame sequence, as well as a second partial atlas frame sequence that incorporates a second subset of image sequences selected from the set of image sequences. The second subset includes a different combination of image sequences than the first subset and includes at least one image sequence in common with the first subset. The system provides the first partial atlas frame sequence to a first video encoder and the second partial atlas frame sequence to a second video encoder communicatively coupled with the first video encoder. Corresponding methods and systems are also disclosed.

Abstract: In one embodiment, a method includes establishing access to first and second different computing systems. A machine learning model is assigned for training to the first computing system, and the first computing system creates a check-point during training in response to a first predefined triggering event. The check-point may be a record of an execution state in the training of the machine learning model by the first computing system. In response to a second predefined triggering event, the training of the machine learning model on the first computing system is halted, and in response to a third predefined triggering event, the training of the machine learning model is transferred to the second computing system, which continues training the machine learning model starting from the execution state recorded by the check-point.