Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback

Ujjwal Sharma; Omar Shahbaz Khan; Stevan Rudinac; Björn Þór Jónsson

doi:10.1007/978-981-96-2074-6_31

Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback

Ujjwal Sharma
, Omar Shahbaz Khan
, Stevan Rudinac
, Björn Þór Jónsson

Reykjavík University

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Exquisitor is a multimedia retrieval system designed to combine conversational search and user relevance feedback to enhance interactive video search. In this work, we present recent improvements to Exquisitor, focusing on integrating these two search strategies into a unified, user-friendly interface. In this system edition set to participate at VBS 2025, we propose improvements for fusing results from the conversational search and user relevance feedback subsystems into a single search pane, an ability to launch multiple tabbed search instances and several improvements to the user interface to significantly improve user experience and search efficiency, particularly for novice users.

Originalsprog	Engelsk
Titel	MultiMedia Modeling
Redaktører	Ichiro Ide, Ioannis Kompatsiaris, Changsheng Xu, Keiji Yanai, Wei-Ta Chu, Naoko Nitta, Michael Riegler, Toshihiko Yamasaki
Antal sider	8
Udgivelsessted	Singapore
Forlag	Springer Nature Singapore
Publikationsdato	jan. 2025
Sider	264-271
ISBN (Trykt)	9789819620739
ISBN (Elektronisk)	978-981-96-2074-6
DOI	https://doi.org/10.1007/978-981-96-2074-6_31
Status	Udgivet - jan. 2025
Udgivet eksternt	Ja
Begivenhed	International Conference on Multimedia Modeling - Nara, Japan Varighed: 9 jan. 2025 → 11 jan. 2025 Konferencens nummer: 31 https://mmm2025.net/

Konference

Konference	International Conference on Multimedia Modeling
Nummer	31
Land/Område	Japan
By	Nara
Periode	09/01/2025 → 11/01/2025
Internetadresse	https://mmm2025.net/

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10.1007/978-981-96-2074-6_31

Citationsformater

Sharma, U., Khan, O. S., Rudinac, S., & Jónsson, B. Þ. (2025). Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback. I I. Ide, I. Kompatsiaris, C. Xu, K. Yanai, W.-T. Chu, N. Nitta, M. Riegler, & T. Yamasaki (red.), MultiMedia Modeling (s. 264-271). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-2074-6_31

Sharma, Ujjwal ; Khan, Omar Shahbaz ; Rudinac, Stevan et al. / Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback. MultiMedia Modeling. red. / Ichiro Ide ; Ioannis Kompatsiaris ; Changsheng Xu ; Keiji Yanai ; Wei-Ta Chu ; Naoko Nitta ; Michael Riegler ; Toshihiko Yamasaki. Singapore : Springer Nature Singapore, 2025. s. 264-271

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title = "Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback",

abstract = "Exquisitor is a multimedia retrieval system designed to combine conversational search and user relevance feedback to enhance interactive video search. In this work, we present recent improvements to Exquisitor, focusing on integrating these two search strategies into a unified, user-friendly interface. In this system edition set to participate at VBS 2025, we propose improvements for fusing results from the conversational search and user relevance feedback subsystems into a single search pane, an ability to launch multiple tabbed search instances and several improvements to the user interface to significantly improve user experience and search efficiency, particularly for novice users.",

keywords = "Interactive learning, Multimedia Retrieval, Multimodal conversational search, Multimodal representation learning, Video browsing",

author = "Ujjwal Sharma and Khan, \{Omar Shahbaz\} and Stevan Rudinac and J{\'o}nsson, \{Bj{\"o}rn {\TH}{\'o}r\}",

year = "2025",

month = jan,

doi = "10.1007/978-981-96-2074-6\_31",

language = "English",

isbn = "9789819620739",

pages = "264--271",

editor = "Ichiro Ide and Ioannis Kompatsiaris and Changsheng Xu and Keiji Yanai and Wei-Ta Chu and Naoko Nitta and Michael Riegler and Toshihiko Yamasaki",

booktitle = "MultiMedia Modeling",

publisher = "Springer Nature Singapore",

note = "International Conference on Multimedia Modeling, MMM ; Conference date: 09-01-2025 Through 11-01-2025",

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Sharma, U, Khan, OS, Rudinac, S & Jónsson, BÞ 2025, Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback. i I Ide, I Kompatsiaris, C Xu, K Yanai, W-T Chu, N Nitta, M Riegler & T Yamasaki (red), MultiMedia Modeling. Springer Nature Singapore, Singapore, s. 264-271, International Conference on Multimedia Modeling, Nara, Japan, 09/01/2025. https://doi.org/10.1007/978-981-96-2074-6_31

Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback. / Sharma, Ujjwal; Khan, Omar Shahbaz; Rudinac, Stevan et al.
MultiMedia Modeling. red. / Ichiro Ide; Ioannis Kompatsiaris; Changsheng Xu; Keiji Yanai; Wei-Ta Chu; Naoko Nitta; Michael Riegler; Toshihiko Yamasaki. Singapore: Springer Nature Singapore, 2025. s. 264-271.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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T1 - Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback

AU - Sharma, Ujjwal

AU - Khan, Omar Shahbaz

AU - Rudinac, Stevan

AU - Jónsson, Björn Þór

N1 - Conference code: 31

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AB - Exquisitor is a multimedia retrieval system designed to combine conversational search and user relevance feedback to enhance interactive video search. In this work, we present recent improvements to Exquisitor, focusing on integrating these two search strategies into a unified, user-friendly interface. In this system edition set to participate at VBS 2025, we propose improvements for fusing results from the conversational search and user relevance feedback subsystems into a single search pane, an ability to launch multiple tabbed search instances and several improvements to the user interface to significantly improve user experience and search efficiency, particularly for novice users.

KW - Interactive learning

KW - Multimedia Retrieval

KW - Multimodal conversational search

KW - Multimodal representation learning

KW - Video browsing

U2 - 10.1007/978-981-96-2074-6_31

DO - 10.1007/978-981-96-2074-6_31

M3 - Article in proceedings

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EP - 271

BT - MultiMedia Modeling

A2 - Ide, Ichiro

A2 - Kompatsiaris, Ioannis

A2 - Xu, Changsheng

A2 - Yanai, Keiji

A2 - Chu, Wei-Ta

A2 - Nitta, Naoko

A2 - Riegler, Michael

A2 - Yamasaki, Toshihiko

PB - Springer Nature Singapore

CY - Singapore

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Y2 - 9 January 2025 through 11 January 2025

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Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback

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