Abstract: An apparatus for creating intelligent special effects based on object recognition according to an example of the present disclosure includes a communication module for receiving a photographed video of an object; a memory storing a program for creating special effect information from the received video; and a processor for executing a program stored in the memory, in which the program inputs an object video acquired from a camera to an object recognition model and extracts an object image to which an attribute of each object is matched, weight information of each object is derived by inputting size information of the object image for each attribute of each object to a weight estimation model, and special effect control information mapped to each object is determined based on the weight information for each attribute of each object.

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using geometric partitioning. A target block may be geometrically partitioned, and multiple partitioned regions may be generated from geometric partitioning. Each partitioned region may have a non-square and a non-rectangular shape. Different prediction schemes may be applied to different partitioned regions. The different prediction schemes for multiple partitioned regions may be signaled as explicit information, and may be derived using information about a coding parameter for the target block or the like.

Abstract: The present disclosure is directed to enable an artificial intelligence (AI) service in a machine-to-machine (M2M) system, and a method for operating a first device may include transmitting a first message for requesting to generate a resource associated with training of an artificial intelligence model to a second device, transmitting a second message for requesting to perform the training based on the resource to the second device, receiving a third message for notifying completion of the training of the artificial intelligence model from the second device, and performing a predicting operation using the trained artificial intelligence model.

Abstract: A method for decoding an image signal according to the present invention may comprise the steps of: determining whether there is a brightness change between a current image including a current block and a reference image of the current image; if it is determined that there is a brightness change between the current image and the reference image, determining weight prediction parameter candidates for the current block; determining a weight prediction parameter for the current block on the basis of index information which specifies any one of the weight prediction parameter candidates; and performing a prediction on the current block on the basis of the weight prediction parameter.

Abstract: Embodiments of the present disclosure are directed to forwarding a large amount of data in a machine-to-machine (M2M) system, and a method for operating a first device may include: transmitting, to a second device, a request message for bulk data transfer; and receiving, from the second device, an acknowledgment message for notifying completion of the bulk data transfer, wherein the request message may include at least one of information for identifying data to be included in bulk data, information on a target common service entity (CSE) in a target platform that receives the bulk data, information for indicating processing of source data after the bulk data transfer, and information for accessing the target CSE.

Abstract: Disclosed is a positive electrode material for a lithium secondary battery. The positive electrode material includes a positive electrode active material formed of Li—[Mn—Ti]-M-O-based material including a transition metal (M) to enable reversible intercalation and deintercalation of lithium and molybdenum oxide. The positive electrode active material is coated with the molybdenum oxide to form a coating layer on a surface thereof.

Abstract: A sulfide solid electrolyte for all-solid secondary batteries, a method of preparing the same, and an all-solid secondary battery, the sulfide solid electrolyte including lithium, phosphorus, sulfur, and a halogen, wherein: the sulfide solid electrolyte has an argyrodite-type crystal structure, a ratio (I(29.0)/I(30.0) ratio) of a peak intensity at a 2? of 29±0.1° to a peak intensity at a 2? of 30±0.1° is 0.06 or less, the peak intensities being obtained by X-ray diffraction analysis of the sulfide solid electrolyte, and a ratio (I(27.1)/I(30.0) ratio) of a peak intensity at a 2? of 27.1±0.1° to a peak intensity at a 2? of 30±0.1° is 0.06 or less, the peak intensities being obtained by X-ray diffraction analysis of the sulfide solid electrolyte.

Abstract: Disclosed herein are a decoding method and apparatus and an encoding method and apparatus that perform inter-prediction using a motion vector predictor. For a candidate block in a col picture, a scaled motion vector is generated based on a motion vector of the candidate block. When the scaled motion vector indicates a target block, a motion vector predictor of the target block is generated based on the motion vector of the candidate block. The motion vector predictor is used to derive the motion vector of the target block in a specific inter-prediction mode such as a merge mode and an AMVP mode.

Abstract: Disclosed are an apparatus for generating a user's virtual observation and a method thereof.

Abstract: The present invention relates to an image encoding/decoding method and apparatus. An image encoding method according to the present invention may comprise generating a transform block by performing at least one of transform and quantization; grouping at least one coefficient included in the transform block into at least one coefficient group (CG); scanning at least one coefficient included in the coefficient group; and encoding the at least one coefficient.

Abstract: A method and an apparatus for encoding/decoding an image according to the present invention may determine a reference area that is a pre-reconstructed area spatially adjacent to a current block on the basis of reference information for specifying the position of a reference area used for predicting a current block and may predict the current block on the basis of the reference area.

Abstract: The present invention relates to a method and apparatus for handling personal data in a machine-to-machine (M2M) system, and an operation method of an M2M device includes obtaining information related to consent of a user for personal data provided from an Internet of things (IoT) device and creating a consent-related resource based on the information. The resource includes at least one attribute related to the consent.

Abstract: The present disclosure provides a method of embedding a watermark on a Joint Photographic Experts Group (JPEG) image. The method includes: performing an entropy decoding on the JPEG image to generate quantized discrete cosine transform (DCT) coefficients; determining target bits in a bit plane of the quantized DCT coefficients on the basis of a watermark-embedding table (WET); and embedding a watermark based on metadata of the JPEG image in the target bits. Also, the present disclosure provides a method of verifying integrity of the image by using the embedded watermark.

Abstract: The present invention discloses a method for constructing a tile structure, wherein a current picture includes at least two or more tiles, the at least two or more tiles are split by a column splitting and a row splitting, at least one or more of the column splitting and the row splitting are performed by using a splitting length which is shorter than a width length or a height length of the current picture.

Abstract: A multilevel selective rendering method for increasing rendering performance, includes: setting a multilevel threshold for a current tile in a rendering process for an image frame divided into a plurality of tiles; generating initial sampling blocks by performing initial sampling for the current tile; generating first level blocks by performing first level selective rendering according to a first level threshold of the multilevel threshold based on the initial sampling blocks; generating second level blocks by performing second level selective rendering according to a second level threshold of the multilevel threshold based on the first level blocks; and initiating the multilevel selective rendering for a next tile of the current tile when multilevel selective rendering for the current tile is completed through repetition of level-specific selective renderings.

Abstract: There is provided an image encoding/decoding method and apparatus. An image decoding method according to the present invention may comprise reconstructing a most frequent mode (MFM) indicator indicating whether or not an intra prediction mode of a current block is a predetermined intra prediction mode, deriving, on the basis of the MFM indicator, the intra prediction mode of the current block, and generating a prediction block of the current block by performing intra prediction on the current block on the basis of the intra prediction mode.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: A method for decoding/encoding an image signal with the decoding/encoding apparatus according to the present invention may comprise the steps of: generating a first prediction sample of a current block, determining a weight prediction parameter set of the current block by using a predetermined reference region, the reference region being a region reconstructed before the current block and including a neighboring region spatially adjacent to the current block, and generating a second prediction sample of the current block by applying the weight prediction parameter set to the first prediction sample. Herein, the neighboring region is determined based on information signaled from a bitstream, and the information specifies a position of the neighboring region and is used to determine the weight prediction parameter set.

Abstract: A wireless optical charging system according to the present invention includes a transmitter which transmits a laser beam as light with an energy increased by the resonance; and a receiving unit which receives light transmitted from the transmitter and converts an energy for some light among the received light into an electric energy to charge devices. Accordingly, the laser resonance power transfer technology is used to solve the limitation of the distance and harmfulness to the human body.