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IHIP 2021: International Conference on Information Hiding and Image Processing

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IHIP
Día de Entrega:
2021-05-05
Fecha de Notificación:
2021-06-01
Fecha de conferencia:
2021-10-23
Ubicación:
Zhenjiang, China
Ediciones:
4
Vistas: 9679   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

IHIP 2021 (International Conference on Information Hiding and Image Processing) is an academic conference held in Zhenjiang, China on 2021-10-23. The paper submission deadline is 2021-05-05. Acceptance notifications are sent on 2021-06-01.

IHIP conference is intended to foster the dissemination of state-of-the-art research in the area of Information Hiding and Image Processing and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to : Information Hiding: Watermarking: techniques, attacks, protocols, applications Steganography and steganalysis: techniques, protocols, applications Cryptography and cryptanalysis: techniques, protocols, applications Data authentication issues and access control themes Broadcast and public‐key encryption Forensic analysis and tracing traitors Digital rights management and legal aspect RFID security and home network privacy Platform integrity and trusted computing Systems engineering and development for information hiding & security ASIC/FPGA/GPGPU design and implementation for information hiding & security Enabling technologies and emerging standards for information hiding & security Image Processing : Artificial Intelligence Acoustic Imaging Color Imaging Computer Vision Digital Photography Digital Video Feature Extraction Holographic Imaging Image Acquisition Techniques Image and Pattern Analysis Image Compression Image Enhancement Image Manipulation Image Quality Image Retrieval Image Segmentation Mathematical Morphology Medical Imaging Multi-Spectral Imaging Pattern Recognition Remote Sensing Software Languages and Tools for Imaging Stereo Vision Super Resolution Volumetric Imaging
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