000 04241cam a2200529 i 4500
001 9781003477280
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006 m o d
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008 240622t20252025flua ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003477280
_qelectronic book
020 _a1003477283
_qelectronic book
020 _a9781040226537
_qelectronic book
020 _a1040226531
_qelectronic book
020 _a9781040226421
_q(electronic bk. : PDF)
020 _a1040226426
_q(electronic bk. : PDF)
020 _z9781032761480
_qhardcover
020 _z9781032761473
_qpaperback
024 7 _a10.1201/9781003477280
_2doi
035 _a(OCoLC)1468585208
035 _a(OCoLC-P)1468585208
050 0 4 _aQA76.9.D343
_bM334 2025
245 0 0 _aMachine learning in multimedia :
_bunlocking the power of visual and auditory intelligence /
_cedited by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, and Bharat Bhushan.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2025.
264 4 _c©2025
300 _a1 online resource (xvi, 154 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInnovations in multimedia, virtual reality and augmentation
505 2 _aMachine learning techniques for accurate prediction and detection of chronic diseases / Suman Punia, Yudhvir Singh, Neha Gulati.
520 _a"This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain, where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless. This book will be helpful to computer science, data science, and artificial intelligence, researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMultimedia data mining.
_994999
650 0 _aMachine learning.
_955059
650 0 _aMedical informatics.
_960693
700 1 _aSwarnkar, Suman,
_eeditor.
_995000
830 0 _aInnovations in multimedia, virtual reality and augmentation.
_995001
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003477280
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c67946
_d67946