موارد یافت شده
سبد خرید
  1. انتشارات جعفری نوین
  2. لاتین
  3. چشم پزشکی - Ophthalmology
  4. Human Perception of Visual Information : Psychological and Computational Perspectives درک انسان از اطلاعات بصری
Human Perception of Visual Information : Psychological and Computational Perspectives Springer
Human Perception of Visual Information : Psychological and Computational Perspectives Springer Springer  

Human Perception of Visual Information : Psychological and Computational Perspectives
درک انسان از اطلاعات بصری

کد کتاب 186619

Human Perception of Visual Information : Psychological and Computational Perspectives

درک انسان از اطلاعات بصری

افست = اورجینال
چاپ تمام رنگی
کاغذ 80 گرمی اندونزی
جلد سخت / ته دوخت / سیمی

*بهترین کیفیت افست را از ما بخواهید*

سال‌های اخیر شاهد پیشرفت‌های مهمی در درک ما از زیربنای روان‌شناختی ویژگی‌های ذهنی اطلاعات بصری، مانند زیبایی‌شناسی، خاطره‌انگیز بودن، یا احساسات القایی بوده‌ایم. به طور همزمان، مدل‌های محاسباتی ویژگی‌های بصری عینی مانند برچسب‌گذاری معنایی و روابط هندسی با استفاده از آخرین دستاوردها در یادگیری ماشین و جمع‌آوری داده‌ها در مقیاس بزرگ، پیشرفت‌های قابل‌توجهی ایجاد کرده‌اند.

ناشر : Springer ( نمایش همه کتاب های انتشارات Springer )
تعداد صفحه
292
چاپ
رنگی
زبان
انگلیسی
سال نشر
2022
شابک
9783030814649
قطع
رحلی
نوبت چاپ
یکم
نویسنده
Edited by Bogdan Ionescu - Edited by Wilma A. Bainbridge - Edited by Naila Murray

خرید Human Perception of Visual Information : Psychological and Computational Perspectives

دارای 18% تخفیف  
مقدمه کتاب اطللاعات بیشتر پرسش و پاسخ

Human Perception of Visual Information : Psychological and Computational Perspectives

کتاب درک انسان از اطلاعات بصری

Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress.
This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging from content retrieval and search, storytelling, to targeted advertising, education and learning, and content filtering.
Work already exists in the literature that studies the psychological aspects of these notions or investigates potential correlations between two or more of these human concepts. Attempts at building computational models capable of predicting such notions can also be found, using state-of-the-art machine learning techniques. Nevertheless their performance proves that there is still room for improvement, as the tasks are by nature highly challenging and multifaceted, requiring thought on both the psychological implications of the human concepts, as well as their translation to machines.

Product details

  • Hardback | 292 pages
  • 155 x 235 x 17.53mm | 623g
  • Cham, Switzerland
  • English
  • 1st ed. 2022
  • 56 Illustrations, color; 13 Illustrations, black and white; IX, 292 p. 69 illus., 56 illus. in color.
  • 3030814645
  • 9783030814649
  • 1,591,903