US 12,341,943 B2
Apparatus and method for eliminating duplicate data between multi-view videos
Hong-Chang Shin, Daejeon (KR); and Gwang-Soon Lee, Daejeon (KR)
Assigned to Electronics and Telecommunications Research Institute, Daejeon (KR)
Filed by Electronics and Telecommunications Research Institute, Daejeon (KR)
Filed on Oct. 7, 2022, as Appl. No. 17/961,945.
Claims priority of application No. 10-2021-0134332 (KR), filed on Oct. 8, 2021; and application No. 10-2022-0082630 (KR), filed on Jul. 5, 2022.
Prior Publication US 2023/0114021 A1, Apr. 13, 2023
Int. Cl. H04N 13/15 (2018.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/75 (2022.01)
CPC H04N 13/15 (2018.05) [G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/751 (2022.01); G06T 2207/10024 (2013.01)] 14 Claims
OG exemplary drawing
 
1. An apparatus for removing redundant data between multi-view videos, comprising:
memory in which at least one program is recorded; and
a processor for executing the program,
wherein:
the program performs
generating a pruning mask of an additional view image by mapping a basic view image to the additional view image, among multi-view images, and
revalidating the pruning mask using color information of the basic view image and the additional view image, and
revalidating the pruning mask comprises
defining a color relationship between the basic view image and the additional view image by extracting predetermined sample values from corresponding pixels between the basic view image and the additional view image, which are included in a pruning candidate group of the pruning mask, and
detecting pixels that do not match the defined color relationship, among pixels in the pruning mask, as outliers,
wherein, when defining the color relationship is performed, the program performs
segmenting an area in which the pixels included in the pruning candidate group are present into multiple equal sections,
extracting sample values that represent pixels included in each of the multiple equal sections, and
calculating a color relationship function using the extracted sample values.