Abstract: An image encoding/decoding method, a method of transmitting a bitstream and a recording medium storing a bitstream are provided. The image decoding method may comprise receiving a neural-network post-filter (NNPF) related supplemental enhancement information (SEI) message to be applied to a current picture, reconstructing NNPF related information based on the NNPF related SEI message, and applying an NNPF to the current picture based on the NNPF related information. The NNPF related SEI message may include a neural-network post-filter characteristics (NNPFC) SEI message including filter identification information and filter property present information, and the NNPFC SEI message may further include base filter present information specifying whether the NNPFC SEI message includes a base neural-network post-processing filter.

Abstract: A source video is encoded in a streaming protocol comprising a normal stream and a companion stream. The normal stream contains I-frames and predicted frames at high resolution. The companion stream contains frames at a lower resolution. When needed, an I-frame from the companion stream may be decoded and upscaled from the second resolution to the first resolution and injected into a decoded picture buffer. At an interval corresponding to an amount of time that is shorter than an interval between I-frames in the normal stream, a first frame is downscaled to the second resolution and then upscaled again to the first resolution. The next frame is then encoded with reference to the upscaled frame such that an output stream recovers to the first resolution based on the second frame prior to receipt of the next I-frame in the normal stream.

Abstract: Various embodiments herein each include at least one of systems, devices, software, and method for item scanner distance-enabled functioning. One such embodiment is in the form of a method and includes receiving a distance measurement from a first TOF sensor co-located with a first camera of an item scanner of a terminal and determining further data processing activity to perform or initiate based on a current state of the terminal and the received distance measurement. This method embodiment may then perform or initiate the determined further data processing activity.

Abstract: An encoding device 1 includes: a transformer 13 configured to calculate an orthogonal transform coefficient by performing an orthogonal transformation process on a residual image indicating a difference between the input image and a predicted image of the input image; a quantizer 14 configured to generate quantization coefficient by quantizing the orthogonal transform coefficient based on a quantization parameter; an entropy encoder 24 configured to generate encoded data by encoding the quantization coefficient; an image decoder 10 configured to restore an orthogonal transform coefficient from the quantization coefficient based on the quantization parameter and generate a pre-filtering image by adding the predicted image to a residual image restored by performing inverse orthogonal transformation on the orthogonal transform coefficient; and a deblocking filter 18 configured to perform a filtering process on the pre-filtering image and control a filtering strength depending on a result of comparison between a

Abstract: A method for deriving at least one item of information from images of a stereo camera. A resource-saving and at the same time accurate derivation of information from the images is achieved by alternately using and processing the images with methods of monocular image processing and deriving at least one item of information from the results. A motor vehicle comprising a stereo camera and comprising a control device which carries out the method, are also described.

Abstract: The present disclosure provides a method of decoding a coded video bitstream, the method comprising: obtaining a picture-level syntax element included in a picture header of the current picture by parsing the video bitstream, wherein the picture-level syntax element is used to specify whether an adaptive loop filter (ALF) is enabled for the current picture; in case that the picture-level syntax element specifies the adaptive loop filter is enabled for the current picture, obtaining a parameter set identifier included in the picture header, wherein the parameter set identifier is used to indicate a first parameter set comprising a set of ALF parameters, and wherein a temporal identifier of the first parameter set is less than or equal to a temporal identifier of the current picture; performing the adaptive loop filter on at least one slice of the current picture based on the first parameter set.

Abstract: An electronic apparatus includes: a display control unit configured to display an input image, a first GUI image, and a second GUI image at a display; a first detecting unit configured to detect a position of a predetermined object in the input image; and a second detecting unit configured to detect a viewpoint of a user in the input image, wherein the display control unit displays the first GUI image in a position corresponding to the position of the predetermined object detected by the first detecting unit and the second GUI image in a position corresponding to the viewpoint detected by the second detecting unit, and in a case where the first GUI image and the second GUI image overlap, the display control unit makes the second GUI image less noticeable than in a case where the first GUI image and the second GUI image do not overlap.

Abstract: In a method for filtering in video decoding, a first combination of filter tap values is determined based on reconstructed sample values of reconstructed samples of a first color component within a filter support region. Based on a lookup table (LUT) indicating a mapping that associates offset values with different combinations of filter tap values, a first offset value of the offset values in the mapping that is associated with the first combination of filter tap values is determined. The first offset value on a to-be filtered sample of a second color component in the filter support region is applied to determine a filtered sample of the second color component.

Abstract: A zero-delay panoramic video bit rate control method that considers distortion temporal propagation aims to optimize target bit allocation and achieve global rate-distortion optimization in coding. It encompasses coding tree unit (CTU)-level bit rate control and temporal global rate-distortion optimization. CTU-level bit rate control involves optimizing target bit allocation and updating bit rate control parameters. Temporal global rate-distortion optimization utilizes the reconstruction error and motion compensation prediction error information of the previous coded frame to estimate the temporal dependence between CTUs in the current coding frame and those in the previous coded frame to adjust the coding parameters of the current CTU.

Abstract: The multi sample prediction method of the present invention comprises the steps of: determining a sample group consisting of a plurality of samples inside a decoding target block; determining a representative position corresponding to the sample group, inside the decoding target block; determining a representative prediction value for the sample group, on the basis of the determined representative position; and determining the determined representative prediction value as the final prediction value for each of the plurality of samples making up the sample group. The present invention enhances efficiency in encoding/decoding and reduces complexity thereof.

Abstract: The present disclosure refers to methods and apparatuses for processing of high-resolution video content. In an embodiment, a method includes generating a first group of video frames from the video content. The first group of video frames has a first resolution lower than a resolution of the video content and a first rate-distortion score. The method further includes generating a second group of video frames from the video content. The second group of video frames has a second resolution lower than the resolution of the video content and a second rate-distortion score. The method further includes selecting an optimal group of video frames from the first and second groups of video frames based on a comparison between the first and second rate-distortion scores. The optimal group of video frames has a rate-distortion score lower than the first and the second rate-distortion scores.

Abstract: A method of decoding video data from a bitstream, the bitstream comprising video data corresponding to one or more slices. The bitstream comprises a picture header comprising syntax elements to be used when decoding one or more slices, and a slice header comprising syntax elements to be used when decoding a slice. In the picture header at least one syntax element indicating whether a decoding tool may be used in the picture. When the decoding tool is used in the picture, at least one APS ID related syntax element is parsed for the decoding tool in the picture header. The decoding also comprises parsing, in a slice header, at least one syntax element indicating whether the decoding tool is to be used or not for that slice prior to syntax elements relating to other decoding tools. A bitstream is decoded using said syntax elements.

Abstract: In some embodiments, a video encoder encodes a video into a video bitstream. The video encoder accesses a set of frames of the video and performs inter prediction for the set of frames using a set of integerized interpolation filters to generate prediction residuals to be encoded into the video bitstream. The set of integerized interpolation filters are generated by integerizing a set of interpolation filters, each of the set of interpolation filters having floating-point filter coefficients. For each interpolation filter, two integerized filter coefficient values are generated for each filter coefficient and a set of filter candidates are generated based on the two integerized values for each filter coefficient. An error metric for each filter candidate is calculated and an integerized interpolation filter having the lowest error metric is selected for the interpolation filter from the set of filter candidates.

Abstract: Techniques and tools for reducing latency in video encoding and decoding by constraining latency due to reordering of video frames, and by indicating the constraint on frame reordering latency with one or more syntax elements that accompany encoded data for the video frames. For example, a real-time communication tool with a video encoder sets a syntax element that indicates a constraint on frame reordering latency, which is consistent with inter-frame dependencies between multiple frames of a video sequence, then outputs the syntax element. A corresponding real-time communication tool with a video decoder receives the syntax element that indicates the constraint on frame reordering latency, determines the constraint on frame reordering latency based on the syntax element, and uses the constraint on frame reordering latency to determine when a reconstructed frame is ready for output (in terms of output order).

Abstract: Techniques and tools for reducing latency in video encoding and decoding by constraining latency due to reordering of video frames, and by indicating the constraint on frame reordering latency with one or more syntax elements that accompany encoded data for the video frames. For example, a real-time communication tool with a video encoder sets a syntax element that indicates a constraint on frame reordering latency, which is consistent with inter-frame dependencies between multiple frames of a video sequence, then outputs the syntax element. A corresponding real-time communication tool with a video decoder receives the syntax element that indicates the constraint on frame reordering latency, determines the constraint on frame reordering latency based on the syntax element, and uses the constraint on frame reordering latency to determine when a reconstructed frame is ready for output (in terms of output order).

Abstract: Systems, devices, apparatuses, components, methods, and techniques for repetitive-motion activity enhancement based upon media content selection are provided. An example media-playback device for enhancement of a repetitive-motion activity includes a media-output device that plays media content items, a plurality of media content selection engines, and a repetitive-activity enhancement mode selection engine. The plurality of media content selection engines includes a cadence-based media content selection engine and an enhancement program engine. The cadence-based media content selection engine is configured to select media content items based on a cadence associated with the repetitive-motion activity. The enhancement program engine is configured to select a media content items according to an enhancement program for the repetitive-motion activity.

Abstract: In one embodiment, a method comprising receiving at a single encoding engine an input video stream according to a first version of a video characteristics, such as frame rate, profile and level, and coding standard, and generating by the single encoding engine, in parallel, a plurality of streams comprising a first encoded stream according to a first version of the video characteristic and a second encoded stream according to a second version of the video characteristic, the second encoded stream generated based on video coding information used to generate the first encoded stream.

Abstract: A method of determining geo-reference data for a portion of a measurement area includes providing a monitoring assembly comprising a ground station, providing an imaging assembly comprising an imaging device with a lens operably coupled to an aerial device, hovering the aerial device over a measurement area, capturing at least one image of the measurement area within the imaging device, transmitting the at least one image to the ground station using a data transmitting assembly, and scaling the at least one image to determine the geo-reference data for the portion of the measurement area by calculating a size of a field-of-view (FOV) of the lens based on a distance between the imaging device and the measurement area.

Abstract: A home security device may include one or more sensors and a camera for capturing image data. The home security device may also include processors and a non-transitory computer-readable memory. The home security device may perform operations including detecting a trigger by the camera and/or the sensors and receiving image data representing a field of view. The field of view may include a suspected object of interest. The operations may include identifying a region of interest containing the suspected object of interest. The operations may include determining that the suspected object of interest is an object of interest based on output from an artificial intelligence model. The operations may also include providing a first video stream representing the field of view and second video stream representing the region of interest for presentation at the computing device substantially simultaneously.

Abstract: A method of decoding video data from a bitstream, the bitstream comprising video data corresponding to one or more slices. The bitstream comprises a picture header comprising syntax elements to be used when decoding one or more slices, and a slice header comprising syntax elements to be used when decoding a slice. In the picture header at least one syntax element indicating whether a decoding tool may be used in the picture. When the decoding tool is used in the picture, at least one APS ID related syntax element is parsed for the decoding tool in the picture header. The decoding also comprises parsing, in a slice header, at least one syntax element indicating whether the decoding tool is to be used or not for that slice prior to syntax elements relating to other decoding tools. A bitstream is decoded using said syntax elements.