Abstract: Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

Abstract: Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

Abstract: Methods, systems, and bitstream syntax are described for the carriage of neural network topology and parameters as related to neural-network-based post filtering (NNPF) in image and video coding. Examples of NNPF SEI messaging as applicable to the MPEG standards for coding video pictures are described at the sequence layer and at the picture layer.

Abstract: A method of a second user equipment (UE) for receiving sidelink data in a wireless communication system comprises receiving configuration information related to a resource pool for sidelink communication from a base station, receiving sidelink control information (SCI) from a first UE, and receiving the sidelink data from the first UE based on the SCI. The SCI is received based on a monitoring related to the SCI. Based on a slot in which the SCI is received, an active time related to sidelink (SL) discontinuous reception (DRX) is determined. Based on a resource pool including the slot in which the SCI is received, whether to perform an operation related to the SL DRX is determined.

Abstract: A method and apparatus for decoding and outputting one or more pictures from a bitstream is provided. The method includes obtaining an indication that specifies that the decoder should not output pictures belonging to a temporal layer. The method includes decoding at least one picture from a bitstream wherein picture(s) belong to the temporal layer. The method includes decoding at least one picture from a bitstream wherein picture(s) belong to one temporal layer not equal to. The method includes responsive to receiving the indication, suppressing output of the at least one picture. The method includes outputting the at least one picture.

Abstract: Disclosed herein are an image decoding/encoding method, a storage medium storing a bitstream and a method for transmitting a bitstream. According to an aspect of the present disclosure, an image decoding method include obtaining a NNPF SEI message, the NNPF SEI message including a NNPFC SEI message and a NNPFA SEI message, determining a neural-network that can be used as a post-processing filer based on the NNPFC SEI message, and determining whether to activate a target NNPF that can be applied to the current picture based on the NNPFA SEI message, wherein the target NNPF is used for post-processing filtering for the current picture and subsequent pictures of a current layer in output order until a picture in a current layer associated with an NNPFA SEI message with the same target NNPF ID information as a current SEI message is output that follows the current picture in the output order.

Abstract: An image decoding method performed by a decoding device according to the present document comprises the steps of: obtaining image information; and updating a decoded picture buffer (DPB) on the basis of the image information, wherein the step of obtaining the image information comprises the steps of: obtaining an output layer set (OLS) DPB parameter index for a target OLS; and obtaining DPB parameter information relating to the target OLS on the basis of the OLS DPB parameter index.

Abstract: An encoder which encodes a video including a plurality of pictures includes circuitry and memory. Using the memory, the circuitry performs: encoding a first picture among the plurality of pictures; and performing (i) a first operation for encoding a parameter set for a second picture which follows the first picture in coding order among the plurality of pictures after encoding the first picture, and encoding the second picture after encoding the parameter set, or (ii) a second operation for encoding the second picture without encoding the parameter set after encoding the first picture. The circuitry performs the first operation when the second picture is a determined picture, in the performing of the first operation or the second operation.

Abstract: An image encoding/decoding method and apparatus for performing intra prediction are provided. An image decoding method of the present invention comprises deriving an intra prediction mode for a current block, selecting at least one reconstructed sample line neighboring to the current block, constructing a reference sample using at least one reconstructed sample included in the at least one reconstructed sample line, and performing intra prediction for the current block based on the intra prediction mode and the reference sample.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. An example method of video decoding includes receiving a video bitstream and reconstructing a first sample of the video bitstream using a non-linear mapping-based filter with a first filter shape configuration of a plurality of filter shape configurations. The plurality of filter shape configurations includes at least two filter shape configurations that are based on a same geometric shape and include a same number of filter taps, and the filter taps of the at least two filter shape configurations are located at different positions. The method further includes selecting a second filter shape configuration of the plurality of filter shape configurations, and reconstructing a second sample in the video based on the non-linear mapping-based filter with the second filter shape configuration.

Abstract: Systems for inspecting pipes or cavities including a camera head, a coaxial push-cable, and a video signal transmitter and a communicatively coupled camera control unit (CCU) are disclosed.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement adaptive loop filter classification and selection for video coding are disclosed. Examples disclosed herein determine whether a collection of available adaptive loop filter sets associated with luma components of the input picture is empty. When the collection of available adaptive loop filter sets is not empty, disclosed examples also enable adaptive loop filtering for the luma components of the input picture, and select at least one of the collection of available adaptive loop filter sets to include in a selection of adaptive loop filter sets for the input picture, with the selection based on an order in which ones of the available adaptive loop filter sets in the collection were derived. Some disclosed examples additionally or alternatively perform block classification to determine accumulated class statistics for derivation of an adaptive loop filter set associated with the input picture.

Abstract: The disclosure relates to a detection method for optical signals in a three-dimensional region of a sample, and a detection method for marked antibodies and/or antigens on a biological surface. In the process, signals with a depth of field that is extended in relation to an original depth of field are captured and evaluated. Also, an apparatus includes an optical element in a detection beam path, a depth of field that is extended in relation to an original depth of field being generated by the effect of said optical element.

Abstract: This disclosure relates to adaptive loop filtering (ALF) for cross-component sample offset (CCSO) and local sample offset (LSO). ALF uses reconstructed samples of a first color component as input (e.g., Y or Cb or Cr). For CCSO, the output is applied on a second color component which is a different color component of the first color component. For LSO, the output is applied on the first color component. A combined ALF may be generalized for CCSO and LSO by considering a delta value between neighboring samples of a collocated (or current) sample and also considering a level value of the collocated (or current) sample.

Abstract: A picture encoding method includes: determining a reference frame number of a current picture based on channel feedback information, where the channel feedback information indicates information about a picture frame received by a decoder side; obtaining a first reference layer number set of a first picture frame corresponding to the reference frame number, where the first reference layer number set includes layer numbers of N1 layers, 1?N1<L1, and L1 indicates a total quantity of layers of the first picture frame; determining a reference layer number of the current picture based on the channel feedback information and the first reference layer number set; and performing video encoding on the current picture based on the reference frame number and the reference layer number to obtain a bitstream.

Abstract: In some embodiments, a security system may generate a first record including first data about detection of a first person in a first image and a second record including second data about detection of a second person in a second image. The security system may determine, based at least in part on first and second data, priorities for the first and second records, and may determine, based at least in part on the priorities, an order in which to process the first and second records. Based at least in part on the order, the security system may process the first record via a first monitoring application prior to processing the second record via a second monitoring application.

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