Automatic Image Annotation: Fundamentals and Applications

· Artificial Intelligence 244권 · One Billion Knowledgeable
eBook
61
페이지
적용 가능
검증되지 않은 평점과 리뷰입니다.  자세히 알아보기

eBook 정보

What Is Automatic Image Annotation

The process of automatically assigning metadata to a digital image in the form of captioning or keywords is referred to as automatic image annotation. This procedure is carried out by a computer system. This use of computer vision techniques is utilized in image retrieval systems to organize and locate photographs of relevance from inside a database. These systems are typically found in digital libraries.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Automatic image annotation


Chapter 2: Information retrieval


Chapter 3: Image retrieval


Chapter 4: Content-based image retrieval


Chapter 5: Bag-of-words model in computer vision


Chapter 6: Object detection


Chapter 7: Learning to rank


Chapter 8: List of datasets for machine-learning research


Chapter 9: Multilinear principal component analysis


Chapter 10: Annotation


(II) Answering the public top questions about automatic image annotation.


(III) Real world examples for the usage of automatic image annotation in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic image annotation' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automatic image annotation.

이 eBook 평가

의견을 알려주세요.

읽기 정보

스마트폰 및 태블릿
AndroidiPad/iPhoneGoogle Play 북 앱을 설치하세요. 계정과 자동으로 동기화되어 어디서나 온라인 또는 오프라인으로 책을 읽을 수 있습니다.
노트북 및 컴퓨터
컴퓨터의 웹브라우저를 사용하여 Google Play에서 구매한 오디오북을 들을 수 있습니다.
eReader 및 기타 기기
Kobo eReader 등의 eBook 리더기에서 읽으려면 파일을 다운로드하여 기기로 전송해야 합니다. 지원되는 eBook 리더기로 파일을 전송하려면 고객센터에서 자세한 안내를 따르세요.