Image Retrieval: Fundamentals and Applications

· One Billion Knowledgeable · AI ບັນຍາຍໂດຍ Mason (ຈາກ Google)
ປຶ້ມສຽງ
1 ຊົ່ວໂມງ 48 ນາທີ
ສະບັບເຕັມ
ມີສິດ
ບັນຍາຍໂດຍ AI
ບໍ່ໄດ້ຢັ້ງຢືນການຈັດອັນດັບ ແລະ ຄຳຕິຊົມ ສຶກສາເພີ່ມເຕີມ
ຕ້ອງການຕົວຢ່າງ 10 ນາທີ ບໍ? ຟັງໄດ້ທຸກເວລາ, ເຖິງແມ່ນໃນເວລາອອບລາຍຢູ່ກໍຕາມ. 
ເພີ່ມ

ກ່ຽວກັບປຶ້ມອ່ານອອກສຽງ

What Is Image Retrieval


A computer system that is used for browsing, searching, and retrieving images from a vast collection of digital images is called an image retrieval system (sometimes abbreviated as IRMS). In order for image retrieval to be carried out over the annotation words, the majority of the conventional and widespread methods currently in use include the addition of information to the images themselves. This metadata can take the form of captioning, keywords, titles, or descriptions. Annotating images manually is a significant investment of time, effort, and money; as a result, a significant amount of effort and research has been put into developing automatic image annotation methods. In addition, the proliferation of social web apps as well as the semantic web has been a driving force behind the development of a number of picture annotation tools that are web-based.


How You Will Benefit


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


Chapter 1: Image retrieval


Chapter 2: Information retrieval


Chapter 3: MPEG-7


Chapter 4: Content-based image retrieval


Chapter 5: Automatic image annotation


Chapter 6: Image organizer


Chapter 7: Google Images


Chapter 8: Image meta search


Chapter 9: Metadata


Chapter 10: Reverse image search


(II) Answering the public top questions about image retrieval.


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


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

ກ່ຽວກັບຜູ້ຂຽນ

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

ໃຫ້ຄະແນນປຶ້ມສຽງນີ້

ບອກພວກເຮົາວ່າທ່ານຄິດແນວໃດ.

ຂໍ້ມູນການຟັງ

ສະມາດໂຟນ ແລະ ແທັບເລັດ
ຕິດຕັ້ງ ແອັບ Google Play Books ສຳລັບ Android ແລະ iPad/iPhone. ມັນຊິ້ງຂໍ້ມູນໂດຍອັດຕະໂນມັດກັບບັນຊີຂອງທ່ານ ແລະ ອະນຸຍາດໃຫ້ທ່ານອ່ານທາງອອນລາຍ ຫຼື ແບບອອບລາຍໄດ້ ບໍ່ວ່າທ່ານຈະຢູ່ໃສ.
ແລັບທັອບ ແລະ ຄອມພິວເຕີ
ທ່ານສາມາດອ່ານປຶ້ມທີ່ຊື້ຜ່ານ Google Play ໂດຍໃຊ້ໂປຣແກຣມທ່ອງເວັບຂອງຄອມພິວເຕີໄດ້.

ເພີ່ມເຕີມຈາກ Fouad Sabry

ປຶ້ມອ່ານອອກສຽງທີ່ຄ້າຍຄືກັນ

ບັນຍາຍໂດຍ Mason