Pattern Recognition and Information Processing: 15th International Conference, PRIP 2021, Minsk, Belarus, September 21-24, 2021, Revised Selected Papers

The 15th International Conference on Pattern Recognition and Information Processing,PRIP 2021,was held in Minsk,Belarus,in September 2021,with 17 revised full papers discussing computer vision,signal and image recognition,distributed resources,and high-performance systems.

Format: Paperback / softback
Length: 245 pages
Publication date: 18 March 2022
Publisher: Springer Nature Switzerland AG

The 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, was held in Minsk, Belarus, in September 2021, due to the COVID-19 pandemic. The conference, which was held online, received 90 submissions, and 17 revised full papers were carefully reviewed and selected. The papers presented a comprehensive discussion on various theoretical and applied aspects of computer vision, signal and image recognition, the use of distributed resources, and high-performance systems.

Computer vision is a field that involves the use of computers to interpret, analyze, and understand visual images and videos. It encompasses a wide range of techniques, including image processing, pattern recognition, and machine learning. Computer vision has numerous applications in various fields, such as healthcare, transportation, security, and entertainment.

Image processing is a fundamental technique in computer vision that involves manipulating and enhancing images to improve their quality and usefulness. It includes tasks such as image enhancement, restoration, compression, and segmentation. Image processing techniques are widely used in medical imaging, satellite imaging, and facial recognition systems.

Pattern recognition is a technique that involves the identification and classification of patterns in images and videos. It involves the use of algorithms and machine learning techniques to analyze and classify patterns based on their characteristics. Pattern recognition has numerous applications in areas such as facial recognition, speech recognition, and object detection.

Machine learning is a subset of artificial intelligence that involves the training of computers to learn from data and make predictions or decisions. It involves the use of algorithms and statistical models to analyze and predict patterns in data. Machine learning has numerous applications in areas such as natural language processing, speech recognition, and image recognition.

Distributed resources are a key aspect of computer vision that involves the use of multiple computers or devices to perform a task. It involves the use of communication protocols and network infrastructure to coordinate the actions of the devices. Distributed resources are widely used in areas such as cloud computing, video surveillance, and autonomous vehicles.

High-performance systems are a critical component of computer vision that involves the use of specialized hardware and software to achieve high processing speeds and accuracy. It involves the use of parallel processing, distributed computing, and optimized algorithms. High-performance systems are widely used in areas such as medical imaging, video surveillance, and autonomous vehicles.

The 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021, showcased the latest advancements in computer vision and its applications. The conference brought together researchers and practitioners from around the world to discuss the latest trends, challenges, and opportunities in the field.

One of the key themes of the conference was the use of artificial intelligence and machine learning in computer vision. Researchers presented their work on using these techniques to improve the accuracy and efficiency of image and video processing, as well as to develop new applications in areas such as facial recognition, speech recognition, and object detection.

Another theme of the conference was the use of distributed resources in computer vision. Researchers presented their work on using multiple computers or devices to perform tasks such as image processing, pattern recognition, and machine learning. This approach allows for faster processing and more accurate results, especially in large-scale applications.

The conference also featured a number of workshops and tutorials that provided hands-on training and experience in computer vision techniques. These workshops were designed to help researchers and practitioners develop their skills and knowledge in the field.

In conclusion, the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, was a successful event that showcased the latest advancements in computer vision and its applications. The conference provided a platform for researchers and practitioners to exchange ideas, share their work, and collaborate on new projects. The use of artificial intelligence, machine learning, distributed resources, and high-performance systems was a key theme of the conference, and it is clear that these technologies will continue to play an important role in the development of computer vision in the future.

Weight: 403g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030988821
Edition number: 1st ed. 2022