{"product_id":"pattern-recognition-and-computer-vision-5th-chinese-conference-prcv-2022-shenzhen-china-november-47-2022-proceedings-part-ii-9783031189098","title":"Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe 4-volume set LNCS 13534,13535,13536 and 13537 contains the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision,PRCV 2022, with 233 full papers organized in various topical sections. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 723 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 13 October 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2022) was held in Shenzhen, China, in November 2022, and its proceedings have been published in a four-volume set, LNCS 13534, 13535, 13536, and 13537. The conference received a total of 564 submissions, from which 233 full papers were selected for inclusion in the proceedings. These papers were organized into seven topical sections:\u003cbr\u003e\u003cbr\u003eTheories and Feature Extraction: This section covered various theories and techniques related to pattern recognition and computer vision, including feature extraction, dimensionality reduction, and pattern classification.\u003cbr\u003e\u003cbr\u003eMachine learning, Multimedia and Multimodal: This section explored the application of machine learning and deep learning to multimedia and multimodal data, such as images, videos, and audio. It also covered topics such as video analysis, facial recognition, and speech recognition.\u003cbr\u003e\u003cbr\u003eOptimization and Neural Network and Deep Learning: This section focused on optimization algorithms, neural network architectures, and deep learning techniques for various computer vision tasks, such as object detection, image segmentation, and facial recognition.\u003cbr\u003e\u003cbr\u003eBiomedical Image Processing and Analysis: This section covered the application of computer vision and image processing techniques to biomedical imaging, including medical image segmentation, tumor detection, and diagnosis.\u003cbr\u003e\u003cbr\u003ePattern Classification and Clustering: This section addressed the classification and clustering of patterns in various domains, such as image analysis, natural language processing, and data mining.\u003cbr\u003e\u003cbr\u003eThree-Dimensional Computer Vision and Reconstruction: This section explored the techniques and applications of three-dimensional computer vision, including 3D object detection, 3D reconstruction, and virtual reality.\u003cbr\u003e\u003cbr\u003eRobots and Autonomous Driving: This section covered the development of robots and autonomous systems for various applications, such as surveillance, navigation, and transportation.\u003cbr\u003e\u003cbr\u003eRecognition, Remote Sensing, and Vision Analysis and Understanding: This section covered the recognition of objects, scenes, and faces using computer vision techniques, as well as the analysis and understanding of visual data using machine learning and deep learning methods.\u003cbr\u003e\u003cbr\u003eImage Processing and Low-level Vision: This section covered the processing and analysis of images at the low-level, including image enhancement, restoration, and feature extraction.\u003cbr\u003e\u003cbr\u003eObject Detection, Segmentation, and Tracking: This section addressed the detection, segmentation, and tracking of objects in images and videos using computer vision techniques, such as convolutional neural networks and deep learning.\u003cbr\u003e\u003cbr\u003eIn conclusion, the 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2022) was a highly successful event that brought together researchers from around the world to share their latest findings and advancements in the field. The proceedings of the conference, published in LNCS 13534, 13535, 13536, and 13537, represent a significant contribution to the state-of-the-art in pattern recognition and computer vision.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1122g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031189098\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44272374317306,"sku":"9783031189098","price":38.42,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_adec7b01-4ba1-441f-b7ae-3c1a353e4b48.jpg?v=1686252616","url":"https:\/\/shulphink.com\/products\/pattern-recognition-and-computer-vision-5th-chinese-conference-prcv-2022-shenzhen-china-november-47-2022-proceedings-part-ii-9783031189098","provider":"Shulph Ink","version":"1.0","type":"link"}