Abstract: An image encoding/decoding method and apparatus are provided. An image decoding method according to the present disclosure may include: obtaining palette information and palette index prediction information of a current block from a bitstream; constructing a palette predictor for the current block based on the palette information and constructing a palette table for the current block based on the palette predictor; generating a palette index map for the current block based on the palette index prediction information; and decoding the current block based on the palette table and the palette index map, wherein the palette predictor may be initialized using a user defined palette entry obtained from at least one of an adaptation parameter set (APS), a picture parameter set (PPS) or a slice header.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle (UAV) wind turbine inspection system. One of the methods includes obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine. An orientation of the blades of the wind turbine are determined based on the obtained first sensor information. A flight pattern for the UAV to inspect the blades of the wind turbine is determined, the flight pattern being based on the determined orientation of the blades. Each of the blades of the wind turbine is inspected by the UAV according to the determined flight pattern, the inspection including obtaining second sensor information describing the blades of the wind turbine.

Abstract: An information processing apparatus includes: a processor in communication with a memory configured to store instructions that, when executed by the processor, cause the processor to set a label based on element information included in scene information for a scene, and determine, based on the set label, whether or not to store the scene information set with the label.

Abstract: The present specification discloses a method of decoding an image. The method includes obtaining a motion vector of a collocated block included in a reference picture of a current block in a temporal motion buffer; changing a format of the obtained motion vector; and deriving the motion vector, in which the format is changed, into a temporal motion vector of the current block.

Abstract: A control apparatus for controlling an imaging apparatus includes a determination unit configured to determine whether at least one subject in an image captured by the imaging apparatus is an authenticated subject, and a control unit configured to, in a case where the determination unit determines that the at least one subject is not an authenticated subject, control exposure of the image by targeting the at least one subject.

Abstract: A method of video decoding includes determining, for a current block of a picture, one of a plurality of reference lines. The method includes determining an intra prediction mode for the current block in accordance with the determined one of the plurality of reference lines. The method further includes performing intra prediction for the current block based on the determined intra prediction mode and one or more samples included in the determined one of the plurality of reference lines. The plurality of reference lines includes an adjacent reference line that is adjacent to the current block and at least one non-adjacent reference line that is not adjacent to the current block, and each of the at least one non-adjacent reference line is associated with a decreasing number of intra prediction modes with respect to a direction away from the current block.

Abstract: A video signal decoding device comprising a processor, wherein the processor is configured to: obtain reference samples corresponding to a first side of a current block and reference samples corresponding to a second side of the current block, obtain a direct current (DC) value for prediction of the current block based on a reference sample set comprising at least some of the reference samples corresponding to the first side and the reference samples corresponding to the second side, and reconstruct the current block based on the DC value.

Abstract: A method for decoding a video according to the present invention may comprise: determining a first prediction mode for a first sub-block in a current block and a second intra prediction mode for a second sub-block, performing a first prediction for the first sub-block based on the first intra prediction mode, performing a second prediction for the second sub-block based on the second intra prediction mode, and obtaining a prediction sample of the current block according to a result of the first prediction and the second prediction.

Abstract: Methods, systems, and apparatuses for adaptive processing of video content to remove noise, such as film grain noise, without substantially affecting visual presentation quality are described herein. A computing device may determine a plurality of film grain parameters associated with film grain noise present within one or more portions of a content item. The computing device may determine at least one encoding parameter based on the plurality of film grain parameters. The computing device may encode the content item based on the at least one encoding parameter. The computing device may send an encoding message to at least one user device/client device, which may in turn use the encoding message to decode the content item.

Abstract: According to one implementation, an image compression system includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image, and quantize the latent space representation of the input image to produce multiple quantized latents. The hardware processor further executes the software code to encode the quantized latents using a probability density function of the latent space representation of the input image, to generate a bitstream, and convert the bitstream into an output image corresponding to the input image. The probability density function of the latent space representation of the input image is obtained based on a normalizing flow mapping of one of the input image or the latent space representation of the input image.

Abstract: System and method for improving the shaving experience by providing improved visibility of the skin shaving area. A digital camera is integrated with the electric shaver for close image capturing of shaving area, and displaying it on a display unit. The display unit can be integral part of the electric shaver casing, or housed in a separated device which receives the image via a communication channel. The communication channel can be wireless (using radio, audio or light) or wired, such as dedicated cabling or using powerline communication. A light source is used to better illuminate the shaving area. Video compression and digital image processing techniques are used for providing for improved shaving results. The wired communication medium can simultaneously be used also for carrying power from the electric shaver assembly to the display unit, or from the display unit to the electric shaver.

Abstract: An image processing device includes: a light emitting unit that emits a near-infrared ray to a target; a light emission controlling unit that controls a light emission amount of the light emitting unit on a basis of a distance value between the target and the light emitting unit; and a detecting unit that detects a feature point on the basis of a captured image of the target irradiated with the near-infrared ray.

Abstract: A method of video processing includes determining, for a conversion between a current block of a video and a coded representation of the video, whether a syntax element indicating usage of a skip mode for an intra-block copy (IBC) coding model is included in the coded representation according to a rule that specifies that signaling of the syntax element is based on a dimension of the current block and/or a maximum allowed dimension for a block that is coded using the IBC coding model. The method also includes performing the conversion based on the determining.

Abstract: A video encoding/decoding method and device according to the present invention may comprise: configuring a palette table for a palette mode of a current block; determining per-pixel palette indices of the current block; and predicting pixels of the current block on the basis of the palette table and the palette indices.

Abstract: Systems and methods for verifying stopped traffic and/or fallen object alarms include an image sensor configured to capture a stream of images of a traffic scene, a stopped object component configured to identify a stopped object in the captured images, define an associated object location in the captured images, and classify the detected object. A background modeling system models at least two background images, a slow background image and a fast background image. A DNN is trained to receive the object information and background images to verify the alarm condition.

Abstract: This disclosure describes, in part, techniques for retrieving images based on detecting events. For instance, system(s) may detect an event, such as an event associated with a collection of images for an item. Based on detecting the event, the system(s) may determine an area within a facility, such as an inventory location, for retrieving image data. The system(s) may then determine one or more imaging devices that have field(s) of view of the area. Additionally, the system(s) may score the imaging device(s) based on visibility data associated with the imaging device(s). The system(s) may also determine occlusion data for image data generated by the imaging device(s). Using the scores and the occlusion data, the system(s) may then select image data that represents the area. The system(s) may then store the image data in one or more data stores, such as with the collection of images.

Abstract: Obtaining potential match results for a reference image across a plurality of system sites is disclosed. A computing device of one of the system sites includes a signature generator identifiable as a first version amongst a plurality of versions of a respective plurality of possible signature generators. The computing device is configured to generate, within the first signature generator, a first signature corresponding to a cropped object portion of a larger image. The first signature is distinctive to the first version. The computing device is further configured to determine that the cropped object portion being processed within the computing device is a match result for a similar images search. A server is configured to receive the cropped object portion and the first signature from the computing device.

Abstract: A UAV data processing and management system is provided including an encoder broadcaster and data manager which provides end users with a single interface for searching and sharing any video or imagery source, from any device with no client software required. Data inputs to the resource can include UAV video, photos, traffic cameras, fixed surveillance systems, iOS and Android device pictures, and other data (e.g., texts, emails) and inputs from all forms of social media, such as Twitter, Instagram, Facebook, etc. The cloud based manager is built with collaboration and sharing in mind while at the same time maintaining data privacy, security protection, chain-of-custody control and audit trail maintenance. Analytic tools are integrated accordingly as “plug-ins” or as a store of available app resources which are easily removed, added and customized based on user needs and system requirements and cost constraints.

Abstract: A method for scale-aware depth estimation using multi-camera projection loss is described. The method includes determining a multi-camera photometric loss associated with a multi-camera rig of an ego vehicle. The method also includes training a scale-aware depth estimation model and an ego-motion estimation model according to the multi-camera photometric loss. The method further includes predicting a 360° point cloud of a scene surrounding the ego vehicle according to the scale-aware depth estimation model and the ego-motion estimation model. The method also includes planning a vehicle control action of the ego vehicle according to the 360° point cloud of the scene surrounding the ego vehicle.

Abstract: An example method includes the steps of receiving an encoded video packet including a packet header and generating a modified packet header. The modified packet header is generated by setting a first value in the packet header to indicate zero reference frames, and by setting a second value in the packet header designating an i-frame as unused for reference. The i-frame is decoded in response to the modified packet header to extract the i-frame without caching the i-frame in a decoded picture buffer. A thumbnail image is generated and includes an image from the i-frame. The thumbnail image is stored directly in memory.