Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Image and video coding"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract Video Coding for Machines (VCM) is gaining momentum in applications like autonomous driving, industry manufacturing, and surveillance, where the robustness of machine learning algorithms against coding artifacts is one of the key success fac
Externí odkaz:
https://doaj.org/article/56247cf086994635a26371fa90a1ad1e
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3441-3453 (2021)
Abstract Anomaly event detection is vital in surveillance video analysis. However, how to learn the discriminative motion in the crowd scene is still not tackled. Here, a deep social force network by exploiting both social force extracting and deep m
Externí odkaz:
https://doaj.org/article/f9b737b35a6a4726b5ad426c877f8b3f
Publikováno v:
Electronics Letters, Vol 57, Iss 25, Pp 973-976 (2021)
Abstract The MPEG immersive video (MIV) has been designed to remove the redundancies of multi‐view videos and merge the residuals into two textures and two geometry videos; therefore, four bitstreams and video decoders are required to provide six d
Externí odkaz:
https://doaj.org/article/93feaec73d30490db235639f19a2094e
Publikováno v:
IET Communications, Vol 15, Iss 20, Pp 2586-2596 (2021)
Abstract With the intensive deployment of mobile networks and the vigorous development of new multimedia services, video has gradually become the mainstream of cultural consumption. The contradiction between the proliferation of video data services a
Externí odkaz:
https://doaj.org/article/c5880840a69d4f4e9f37fcd0a710557e
Akademický článek
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Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 21, Pp 3066-3080 (2021)
Abstract With the development of smart grids, appliance‐level data information plays a vital role in smart power consumption. Nowadays, appliance signatures detected by non‐intrusive load monitoring (NILM) can be used for anomaly detection, deman
Externí odkaz:
https://doaj.org/article/8995d098513c4ccf903ffb9ba5ea0a9e
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3160-3171 (2021)
Abstract Data hiding aims to embed a secret message into a digital object such as image by slightly modifying the object content without arousing noticeable artefacts. The resultant object containing hidden information will be sent to a desired recei
Externí odkaz:
https://doaj.org/article/1e45b81878b44b3c9e0cc944ee53625c
Autor:
Olarewaju Mubashiru Lawal, Huamin Zhao
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3071-3079 (2021)
Abstract The detection of fruit, including accuracy and speed is of great significance for robotic harvesting. Nevertheless, attributes such as illumination variation, occlusion, and so on have made fruit detection a challenging task. A robust YOLOFi
Externí odkaz:
https://doaj.org/article/25b35de54bd64d7d8142fbde597a0f29
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3153-3159 (2021)
Abstract To achieve the high‐resolution inverse synthetic aperture radar (ISAR) imaging of moving targets, the range Doppler method and compressed sensing technique can be used. However, those methods are generally faced with the problem of migrati
Externí odkaz:
https://doaj.org/article/12d00b462ca7434180d4b5fb88f5855c
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3254-3266 (2021)
Abstract Due to insufficient illumination in low‐light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks. Low‐light enhancement is a challenging task that requires s
Externí odkaz:
https://doaj.org/article/df18811142084c87aec277e301b568db