US 11,887,366 B2
Object analysis
Guido Meardi, London (GB); Guendalina Cobianchi, London (GB); Balázs Keszthelyi, London (GB); Ivan Makeev, London (GB); Simone Ferrara, London (GB); and Stergios Poularakis, London (GB)
Assigned to V-NOVA INTERNATIONAL LIMITED
Appl. No. 17/431,002
Filed by V-NOVA INTERNATIONAL LIMITED, London (GB)
PCT Filed Feb. 11, 2020, PCT No. PCT/GB2020/050312
§ 371(c)(1), (2) Date Aug. 13, 2021,
PCT Pub. No. WO2020/165575, PCT Pub. Date Aug. 20, 2020.
Claims priority of application No. 19386008 (EP), filed on Feb. 13, 2019.
Prior Publication US 2022/0172473 A1, Jun. 2, 2022
Int. Cl. G06V 20/40 (2022.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01)
CPC G06V 20/41 (2022.01) [G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06F 2218/00 (2023.01)] 16 Claims
OG exemplary drawing
 
1. A method of performing object detection within a set of representations of a hierarchically-structured signal, wherein the hierarchically-structured signal is structured in accordance with a tiered hierarchy of representations of an original signal and each of the representations is associated with respective level of quality, the set of representations comprising at least a first representation of the original signal at a first level of quality and a second representation of the original signal at a second, higher level of quality, wherein the second representation is based on reconstruction data used to adjust the first representation, the method comprising:
performing object detection within one or more representations to find one or more instances of one or more objects of one or more particular classes and localizing the one or more objects within the one or more representations.