Abstract: According to an embodiment, an encoding device includes an index setting unit, an index reconfiguring unit, and an entropy encoding unit. The index setting unit sets an index and a weighting factor. The index represents information of a reference image. The index reconfiguring unit predicts a reference value of the weighting factor. The reference value indicates a factor to be set if a difference of pixel value between a reference image and a target image to be encoded is less than or equal to a specific value. The entropy encoding unit encodes a difference value between the weighting factor and the reference value.

Abstract: Technologies are generally described for a scalable video coding scheme. In some examples, a scalable video encoder may include a device information receiver unit configured to receive device information regarding multiple devices requesting video content streaming; and a layer generation unit configured to generate a base layer and multiple scalability layers of video data for scalable coding of the video content based on, at least, the device information received by the device information receiver unit.

Abstract: According to an embodiment, an encoding device includes a deriving unit and an encoding unit. The deriving unit derives a first reference value based on fixed point precision representing roughness of a weighting factor that is used for multiplying a reference image. The encoding unit encodes a first difference value and the fixed point precision. The first difference value is a difference value between the weighting factor and the first reference. The weighting factor is included in a first range of given bit precision having the first reference value at approximate center. The first difference value is in the given range.

Abstract: Provided is a method of merging or fusing a visible image captured by a visible camera and an infrared (IR) image captured by an IR camera. The method includes: providing a first image of a subject captured by a first camera and a second image of the subject captured by a second camera; converting brightness of the second image based on brightness of the first image; and merging the first image and the second image having the converted brightness.

Abstract: A method for producing dynamic photorealistic 3D models for digitizing a three-dimensional object, that may include including transparent or reflective parts such as a pair of glasses, is adaptive for visualization and real time fitting, and includes movable fastening of the object to a support, pivoting about a vertical axis, placed opposite at least two vertically spaced image shooting devices, acquisition of object images by the image shooting devices during a rotation of the object about the vertical axis, and colorimetric correction of the acquired images.

Abstract: A white turbid state diagnostic apparatus has an imaging part installed on a vehicle and configured to convert a light signal from a periphery of the vehicle into an image signal, a region detection part configured to detect a region from the image signal, the region being constituted by pixels having brightness values over a predetermined brightness and being in a substantially circular shape having a predetermined area or more, a brightness gradient calculation part configured to calculate a brightness gradient on a line which is directed from a predetermined position in a predetermined direction based on brightness values of pixels on the line in the region, and a white turbid level calculation part configured to calculate a white turbid level of the lens based on the brightness gradient.