Methods, systems, and techniques for enhancing use of two-dimensional (2D) video analytics by using depth data. Two-dimensional image data representing an image comprising a first object is obtained, as well as depth data of a portion of the image that includes the first object. The depth data indicates a depth of the first object. An initial 2D classification of the portion of the image is generated using the 2D image data without using the depth data. The initial 2D classification is stored as an approved 2D classification when the initial 2D classification is determined consistent with the depth data. Additionally or alternatively, a confidence level of the initial 2D classification may be adjusted depending on whether the initial 2D classification is determined to be consistent with the depth data, or the depth data may be used with the 2D image data for classification.

An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.

An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.

The various embodiments of the invention relates to a method and a technical equipment for video compression. The method comprises processing volumetric image data comprising a plurality of points; defining a hemisphere (601) around a surface (602) normal at each point in the volumetric image; partitioning each of the defined hemispheres spatially into a predefined number of angles (603); determining a representative radiance value for each angle of the predefined number of angles (603) of a defined hemisphere (601); generating a matrix (610) for a point storing the determined representative radiance values; and encoding the generated matrix (610) for the point for video compression.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.

Methods and systems for image encoding and decoding are disclosed. According to some embodiments, scene metadata and input images associated with a scene are received. A first encoding operation is performed on the scene metadata and input images to generate reference images and reference disparity information. A second encoding operation is performed on the reference images and reference disparity information to output encoded data. The encoded data includes encoded reference images and encoded reference disparity information. The encoded data is transmitted.