Konferenzbeitrag
Application of Digital Images and Corresponding Image Retrieval Paradigm
We live in a world where digital images are constantly generated during our daily activities, whether private or business. They play an important role in our private life, showing important moments, people, places, or events and keeping their memory. Images are unavoidable in business, especially in digital marketing, web sales, social networks, medicine, security, and education. In general, images contribute to a better understanding of the message, increase the attractiveness of textual content, provide a better user experience, and can convey emotion quickly. The key advantage of the image is that very often, even a cursory glance at the image is enough to convey a message and arouse emotion and interest. But with the increase in digital image numbers, storage, organization, and retrieval problems arise. The paper describes the importance of images in different areas of application and different image retrieval paradigms that include text-based, content-based, and combined approaches. Also, the most popular image search tools and cloud storage services are compared and discussed. The conclusion comments on the applicability of existing approaches to image searches in different application domains and highlights the advantages and disadvantages of each of the approaches.
- Sprache
-
Englisch
- Erschienen in
-
In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022 ; Year: 2022 ; Pages: 350-363 ; Zagreb: IRENET - Society for Advancing Innovation and Research in Economy
- Klassifikation
-
Wirtschaft
Industrialization; Manufacturing and Service Industries; Choice of Technology
- Thema
-
digital images
content-based image retrieval
text-based image retrieval
semantic search
cloud storage services
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ivasic-Kos, Marina
- Ereignis
-
Veröffentlichung
- (wer)
-
IRENET - Society for Advancing Innovation and Research in Economy
- (wo)
-
Zagreb
- (wann)
-
2022
- DOI
-
doi:10.54820/entrenova-2022-0030
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Ivasic-Kos, Marina
- IRENET - Society for Advancing Innovation and Research in Economy
Entstanden
- 2022
Ähnliche Objekte (12)
Image Retrieval on Large-Scale Image Databases
Image Retrieval within Augmented Reality
Designing semantic image retrieval systems
Image retrieval for information systems
Bruegel's Netherlandish Proverbs and corresponding images in old Japanese art
Fusing Local Image Descriptors for Large-Scale Image Retrieval
Correlated Topic Models for Image Retrieval
Vision based image retrieval (VBIR) : a new eye tracking based approach to efficient and intuitive image retrieval
Visual shape similarity and retrieval of figurative images
Visual shape similarity and retrieval of figurative images
Image retrieval, object recognition, and discriminative models
Users' Effectiveness and Satisfaction for Image Retrieval
Image Retrieval on Large-Scale Image Databases
Image Retrieval within Augmented Reality
Designing semantic image retrieval systems
Image retrieval for information systems
Bruegel's Netherlandish Proverbs and corresponding images in old Japanese art
Fusing Local Image Descriptors for Large-Scale Image Retrieval
Correlated Topic Models for Image Retrieval
Vision based image retrieval (VBIR) : a new eye tracking based approach to efficient and intuitive image retrieval
Visual shape similarity and retrieval of figurative images
Visual shape similarity and retrieval of figurative images
Image retrieval, object recognition, and discriminative models
Users' Effectiveness and Satisfaction for Image Retrieval
Image Retrieval on Large-Scale Image Databases
Image Retrieval within Augmented Reality
Designing semantic image retrieval systems
Image retrieval for information systems
Bruegel's Netherlandish Proverbs and corresponding images in old Japanese art
Fusing Local Image Descriptors for Large-Scale Image Retrieval
Correlated Topic Models for Image Retrieval
Vision based image retrieval (VBIR) : a new eye tracking based approach to efficient and intuitive image retrieval
Visual shape similarity and retrieval of figurative images
Visual shape similarity and retrieval of figurative images
Image retrieval, object recognition, and discriminative models