Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nico Hezel"'
Autor:
Lucia Vadicamo, Rahel Arnold, Werner Bailer, Fabio Carrara, Cathal Gurrin, Nico Hezel, Xinghan Li, Jakub Lokoc, Sebastian Lubos, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peska, Luca Rossetto, Loris Sauter, Klaus Schoffmann, Florian Spiess, Minh-Triet Tran, Stefanos Vrochidis
Publikováno v:
IEEE Access, Vol 12, Pp 79342-79366 (2024)
This paper conducts a thorough examination of the 12th Video Browser Showdown (VBS) competition, a well-established international benchmarking campaign for interactive video search systems. The annual VBS competition has witnessed a steep rise in the
Externí odkaz:
https://doaj.org/article/5ae8a6bc09a2400aa35248830d0edfc7
Publikováno v:
MultiMedia Modeling ISBN: 9783031270765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31e86ae8b30ca33201584de22b991eac
https://doi.org/10.1007/978-3-031-27077-2_56
https://doi.org/10.1007/978-3-031-27077-2_56
Publikováno v:
Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval.
Publikováno v:
MultiMedia Modeling ISBN: 9783030983543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e2337fe79b8633b261313b3ac33020
https://doi.org/10.1007/978-3-030-98355-0_43
https://doi.org/10.1007/978-3-030-98355-0_43
Publikováno v:
MultiMedia Modeling ISBN: 9783030983543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74e7edbeed273a3f5aa06830232f44cb
https://doi.org/10.1007/978-3-030-98355-0_38
https://doi.org/10.1007/978-3-030-98355-0_38
Publikováno v:
MultiMedia Modeling ISBN: 9783030983574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4031383173a5bfb75a2ac1fd0a34343
https://doi.org/10.1007/978-3-030-98358-1_17
https://doi.org/10.1007/978-3-030-98358-1_17
Publikováno v:
MultiMedia Modeling ISBN: 9783030678340
MMM (2)
MMM (2)
This paper presents details of our frame-based Ad-hoc Video Search system with manually assisted querying that will be used for the Video Browser Showdown 2021 (VBS2021). The main contributions of our new system consist of an improved automatic keywo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0907784fd1322bac3e18b68c6226597b
https://doi.org/10.1007/978-3-030-67835-7_49
https://doi.org/10.1007/978-3-030-67835-7_49
Publikováno v:
ACM Multimedia
Nowadays stock photo agencies often have millions of images. Non-stop viewing of 20 million images at a speed of 10 images per second would take more than three weeks. This demonstrates the impossibility to inspect all images and the difficulty to ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35c8f790518f73087dbf41b73c0499ba
http://arxiv.org/abs/1910.06005
http://arxiv.org/abs/1910.06005
Publikováno v:
MMSP
It is impossible to inspect or get an overview of image collections with millions of images. Users often start “exploring” images with a keyword or a similarity search. Both lead to long unstructured lists of result images. In this demo we presen
Publikováno v:
MMSP
One of the key challenges of deep learning based image retrieval remains in aggregating convolutional activations into one highly representative feature vector. Ideally, this descriptor should encode semantic, spatial and low level information. Even