- 专利标题: METHOD AND APPARATUS FOR CODING FEATURE MAP BASED ON DEEP LEARNING IN MULTITASKING SYSTEM FOR MACHINE VISION
-
申请号: US18029022申请日: 2021-09-29
-
公开(公告)号: US20240054686A1公开(公告)日: 2024-02-15
- 发明人: Je Won Kang , Chae Hwa Yoo , Seung Wook Park , Wha Pyeong Lim
- 申请人: HYUNDAI MOTOR COMPANY , KIA CORPORATION , EWHA UNIVERSITY - INDUSTRY COLLABORATION FOUNDATION
- 申请人地址: KR Seoul
- 专利权人: HYUNDAI MOTOR COMPANY,KIA CORPORATION,EWHA UNIVERSITY - INDUSTRY COLLABORATION FOUNDATION
- 当前专利权人: HYUNDAI MOTOR COMPANY,KIA CORPORATION,EWHA UNIVERSITY - INDUSTRY COLLABORATION FOUNDATION
- 当前专利权人地址: KR Seoul; KR Seoul; KR Seoul
- 优先权: KR 20200127284 2020.09.29 KR 20210128887 2021.09.29
- 国际申请: PCT/KR2021/013352 2021.09.29
- 进入国家日期: 2023-10-09
- 主分类号: G06T9/00
- IPC分类号: G06T9/00 ; G06T3/40 ; G06V10/77 ; G06V10/82
摘要:
A VCM coding apparatus and a VCM coding method, related to a deep learning-based feature map coding apparatus in a multitasking system for machine vision, are provided for performing default procedures of generating and compressing a common feature map related to multiple tasks implied by an original video. The VCM coding apparatus and the VCM coding method can further generate and compress a task-specific feature map whenever needed for higher performance than obtainable with the common feature map to ensure relatively acceptable performance for both machine vision and human vision.
信息查询