Semantic and Interactive Content-based Image Retrieval - Barz, Björn
- Format: Broché Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtreExpédition rapide et soignée depuis l`Angleterre - Délai de livraison: entre 10 et 20 jours ouvrés.
Nos autres offres
-
94,57 €
Produit Neuf
Ou 23,64 € /mois
- Livraison à 0,01 €
- Livré entre le 27 mai et le 5 juin
Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9783736973466_dbm
Voir le détail de l'annonce
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Semantic And Interactive Content - Based Image Retrieval Format Broché - Livre Informatique
0 avis sur Semantic And Interactive Content - Based Image Retrieval Format Broché - Livre Informatique
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
The Lines Of My Hand
1 avis
Occasion dès 79,00 €
-
Vitalogy; Or, Encyclopedia Of Health And Home
Neuf dès 51,67 €
-
Citizen Marx
Neuf dès 49,07 €
-
Gedichte
Neuf dès 46,66 €
-
Bruegel. The Complete Works
Neuf dès 95,23 €
-
International Commercial Agreements: A Functional Primer On Drafting, Negotiating And Resolving Disputes, Third Edition
Neuf dès 52,99 €
Occasion dès 96,99 €
-
Portfolio Joubert "Les Scouts"
Occasion dès 75,00 €
-
Ocp Oracle Certified Professional Java Se 21 Developer Study Guide
Neuf dès 72,73 €
-
Joel Meyerowitz: Europa 1966-1967
Neuf dès 50,00 €
-
Complete Cthulhu Mythos Tales
1 avis
Neuf dès 50,89 €
Occasion dès 85,32 €
-
Western Technology And Soviet Economic Development 1945-1968
Neuf dès 60,23 €
-
Kodak Pixpro Fz55 :
Neuf dès 48,99 €
-
Saul Steinberg | Harold Rosenberg
Occasion dès 103,99 €
-
Ernst Haas - New York In Color, 1952-1962
1 avis
Neuf dès 49,54 €
-
Auf Der Schwelle Des Fremden: Das Leben Der Annemarie Schwarzenbach
Occasion dès 46,40 €
-
Implementing Domain-Driven Design
Neuf dès 63,38 €
-
Handbook Of Multilingualism And Multiculturalism
Neuf dès 60,00 €
Occasion dès 50,00 €
-
Mies Van Der Rohe
Occasion dès 72,32 €
-
Hyperbolic Geometry From A Local Viewpoint
Neuf dès 77,99 €
-
Moonwalk By Michael Jackson
2 avis
Occasion dès 70,46 €
Produits similaires
Présentation Semantic And Interactive Content - Based Image Retrieval Format Broché
- Livre Informatique
Résumé :
Content-based image retrieval (CBIR) aims for finding images in large databases such as the internet based on their content. Given an exemplary query image provided by the user, the retrieval system provides a ranked list of similar images. Most contemporary CBIR systems compare images solely by means of their visual similarity, i.e., the occurrence of similar textures and the composition of colors. However, visual similarity does not necessarily coincide with semantic similarity. For example, images of butterflies and caterpillars can be considered as similar, because the caterpillar turns into a butterfly at some point in time. Visually, however, they do not have much in common. In this work, we propose to integrate such human prior knowledge about the semantics of the world into deep learning techniques. Class hierarchies serve as a source for this knowledge, which are readily available for a plethora of domains and encode is-a relationships (e.g., a poodle is a dog is an animal etc.). Our hierarchy-based semantic embeddings improve the semantic consistency of CBIR results substantially compared to conventional image representations and features. We furthermore present three different mechanisms for interactive image retrieval by incorporating user feedback to resolve the inherent semantic ambiguity present in the query image. One of the proposed methods reduces the required user feedback to a single click using clustering, while another keeps the human in the loop by actively asking for feedback regarding those images which are expected to improve the relevance model the most. The third method allows the user to select particularly interesting regions in images. These techniques yield more relevant results after a few rounds of feedback, which reduces the total amount of retrieved images the user needs to inspect to find relevant ones.
Détails de conformité du produit
Personne responsable dans l'UE