A three-dimensional data encoding method includes: (i) when a number of three-dimensional points included in point cloud data to be encoded is n that is greater than a predetermined number, n being an integer greater than or equal to 2, calculating an encoding coefficient by generating a hierarchical structure in which each of n pieces of attribute information on the three-dimensional points is sorted into one of a higher frequency component and a lower frequency component to be layered, and generating a bitstream including the encoding coefficient calculated in the calculating; and (ii) when a number of three-dimensional points included in the point cloud data is m that is smaller than or equal to the predetermined number, m being an integer greater than or equal to 1, generating a bitstream in accordance with m pieces of attribute information on the three-dimensional points without generating a hierarchy structure.

A three-dimensional data encoding method includes: (i) when a number of three-dimensional points included in point cloud data to be encoded is n that is greater than a predetermined number, n being an integer greater than or equal to 2, calculating an encoding coefficient by generating a hierarchical structure in which each of n pieces of attribute information on the three-dimensional points is sorted into one of a higher frequency component and a lower frequency component to be layered, and generating a bitstream including the encoding coefficient calculated in the calculating; and (ii) when a number of three-dimensional points included in the point cloud data is m that is smaller than or equal to the predetermined number, m being an integer greater than or equal to 1, generating a bitstream in accordance with m pieces of attribute information on the three-dimensional points without generating a hierarchy structure.

Methods and apparatuses for video transcoding based on spatial or temporal importance include: in response to receiving an encoded video bitstream, decoding a picture from the encoded video bitstream; determining a first level of spatial importance for a first region of a background of the picture based on an image segmentation technique; applying to the first region a first resolution-enhancement technique associated with the first level of spatial importance for increasing resolution of the first region by a scaling factor, wherein the first resolution-enhancement technique is selected from a set of resolution-enhancement techniques having different computational complexity levels; and encoding the first region using a video coding standard.

Methods and systems for canvas size scalability across the same or different bitstream layers of a video coded bitstream are described. Offset parameters for a conformance window, a reference region of interest (ROI) in a reference layer, and a current ROI in a current layer are received. The width and height of a current ROI and a reference ROI are computed based on the offset parameters and they are used to generate a width and height scaling factor to be used by a reference picture resampling unit to generate an output picture based on the current ROI and the reference ROI.

An information processing apparatus that communicates with a storage device that stores, at a plurality of resolutions, tile images obtained by dividing a picked-up image into a plurality of predetermined regions and to which encoding processing including intra-frame encoding and inter-frame encoding has been performed comprises: a designation unit for designating a predetermined region of the picked-up image for a preset tour in advance; a request unit for requesting the storage device to transmit the tile image including the predetermined region with higher resolution from among the plurality of resolutions; and a display control unit for cutting out the predetermined region from the tile image and cause a display unit to display the cut-out predetermined region, wherein, when the predetermined region is designated in advance, wherein, when the predetermined region is designated in advance, the request unit requests the storage device to transmit the tile image including the predetermined region.

An information processing apparatus that communicates with a storage device that stores, at a plurality of resolutions, tile images obtained by dividing a picked-up image into a plurality of predetermined regions and to which encoding processing including intra-frame encoding and inter-frame encoding has been performed comprises: a designation unit for designating a predetermined region of the picked-up image for a preset tour in advance; a request unit for requesting the storage device to transmit the tile image including the predetermined region with higher resolution from among the plurality of resolutions; and a display control unit for cutting out the predetermined region from the tile image and cause a display unit to display the cut-out predetermined region, wherein, when the predetermined region is designated in advance, wherein, when the predetermined region is designated in advance, the request unit requests the storage device to transmit the tile image including the predetermined region.

According to one embodiment of the present invention, an electronic device may comprise a processor and an image sensing module, wherein the image sensing module comprises an image sensor, and a control circuit electrically connected to the image sensor and connected to the processor through an interface, and the control circuit is configured to: acquire at least one raw image, using the image sensor; designate, for the at least one raw image, first data corresponding to a first region and second data not corresponding to the first region, on the basis of information related to the first region in the at least one raw image; transform the at least one raw image by changing at least a part of the second data to a designated value; and compress the at least one transformed raw image and transmit the compressed transformed raw image to the processor.

According to one embodiment of the present invention, an electronic device may comprise a processor and an image sensing module, wherein the image sensing module comprises an image sensor, and a control circuit electrically connected to the image sensor and connected to the processor through an interface, and the control circuit is configured to: acquire at least one raw image, using the image sensor; designate, for the at least one raw image, first data corresponding to a first region and second data not corresponding to the first region, on the basis of information related to the first region in the at least one raw image; transform the at least one raw image by changing at least a part of the second data to a designated value; and compress the at least one transformed raw image and transmit the compressed transformed raw image to the processor.

An encoding apparatus, includes a memory; and a processor coupled to the memory and configured to: perform intra-screen prediction encoding on an image of a region of a still image cut out from a first decoded image corresponding to a screen image before a predetermined region is switched from a video to a still image, generate a second decoded image obtained by decoding information for which the intra-screen prediction is performed, and when a first screen image after the predetermined region is switched from a video to a still image is received, perform inter-screen prediction encoding on an image of a region of a still image cut out from the first screen image after switching to a still image, by referring to the generated second decoded image.

Embodiments relate to methods for efficiently encoding sensor data captured by an autonomous vehicle and building a high definition map using the encoded sensor data. The sensor data can be LiDAR data which is expressed as multiple image representations. Image representations that include important LiDAR data undergo a lossless compression while image representations that include LiDAR data that is more error-tolerant undergo a lossy compression. Therefore, the compressed sensor data can be transmitted to an online system for building a high definition map. When building a high definition map, entities, such as road signs and road lines, are constructed such that when encoded and compressed, the high definition map consumes less storage space. The positions of entities are expressed in relation to a reference centerline in the high definition map. Therefore, each position of an entity can be expressed in fewer numerical digits in comparison to conventional methods.