Abstract Due: 9 February 2022
Manuscript Due: 27 July 2022
Submissions to the conference should have abstract text lengths 1,000 words or less.
The field of digital image processing has experienced continuous and significant expansion in recent years. The usefulness of this technology is apparent in many different disciplines covering entertainment through remote sensing. The advances and wide availability of image processing hardware along with advanced algorithms have further enhanced the usefulness of image processing. The Application of Digital Image Processing conference welcomes contributions of new results and novel techniques from this important technology.
Papers are solicited in the broad areas of digital image processing applications, including:
- image processing in medical applications
- image processing in remote sensing
- image processing in space
- image processing in automotive applications
- image processing in entertainment
- image processing in digital cinema
- image processing in gaming
- image processing in video surveillance
- image processing in drones
- image processing in multimedia applications
- image processing in telepresence
- image processing in visual search
- image processing in real time applications
- blockchain and distributed ledge technologies in imaging.
- high dynamic range
- wide color gamut
- high frame rate
- ultra-high definition (4K, 8K, and beyond)
- holographic content
- light field content
- point cloud content
- plenoptic content
- multidimensional content
- multimodal content.
- imaging in virtual reality
- imaging in augmented reality
- imaging in mixed reality
- omnidirectional imaging
- 360-degree imaging.
- image and video enhancement
- image and video restoration
- image registration techniques
- robot and machine vision
- pattern recognition
- feature extraction and tracking
- computational imaging
- image and video annotation
- image and video indexing
- image and video management
- search and retrieval.
- other standards.
- ownership protection
- integrity verification
- conditional access
- privacy protection
- low latency
- low power
- low complexity
- error resiliency
- random access
- new requirements and features.
- new image processing architectures
- implementation considerations
- complexity considerations
- power consumption considerations
- optimization considerations
- performance metrics.
- image compression
- video compression
- perceptual compression
- lossless compression
- new methods for image compression
- new methods for video compression.
- image quality assessment and metrics
- video quality assessment and metrics
- perceptually motivated image processing
- Quality of Service (QoS) issues in imaging
- Quality of Experience (QoE) issues in imaging.
- machine learning applied to imaging
- deep learning applied to imaging
- assessment of Quality of Data (QoD) in imaging
- imaging using Generative Adversarial Network (GAN)
- reinforcement learning applied to imaging
- image compression based on artificial intelligence
- video compression based on artificial intelligence
- new machine learning approaches in imaging.
- new and emerging applications in imaging
- new and emerging approaches in imaging.
AGT Associates (United States)
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Qualcomm Inc. (United States)
intoPIX s.a. (Belgium)
Comcast Corp. (United States)
Ben-Gurion Univ. of the Negev (Israel)
Facebook Inc. (United States)
The Univ. of Southern California (United States)
Tencent America, LLC (United States)
Andre J. Oosterlinck
KU Leuven Association (Belgium)
Instituto de Telecomunicações (Portugal)
Brightcove, Inc. (United States)
Fraunhofer-Institut für Integrierte Schaltungen IIS (Germany)
California Polytechnic State Univ., San Luis Obispo (United States)
Vrije Univ. Brussel (Belgium)
Microsoft Corp. (United States)
The Univ. of New South Wales (Australia)
FastVDO Inc. (United States)