TY - GEN N2 - This two-volume set LNCS 14233-14234 constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11-15, 2023. The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions. The conference focuses on video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision. DO - 10.1007/978-3-031-43148-7 DO - doi AB - This two-volume set LNCS 14233-14234 constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11-15, 2023. The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions. The conference focuses on video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision. T1 - Image Analysis and Processing -- ICIAP 2023 :22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings. AU - Foresti, Gian Luca, AU - Fusiello, Andrea, AU - Hancock, Edwin R., VL - 14233 CN - TA1637 N1 - Includes author index. ID - 1480891 KW - Image processing KW - Image analysis SN - 9783031431487 SN - 3031431480 TI - Image Analysis and Processing -- ICIAP 2023 :22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-43148-7 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-43148-7 ER -