Using an Interactive Video Retrieval Tool for LifeLog Data

Lokoč, Jakub; Souček, Tomáš; Kovalčík, Gregor

doi:10.1145/3210539.3210543

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…Search Engine After a successful participation at the Video Browser Showdown 2018 (1st place), the SIRET team from Charles University, Prague, participated also at the Lifelog search challenge with an updated version of the VIRET system 30) . The objective of the participation was to inspect the performance of a purely contentbased video retrieval tool for Lifelog data.…”

Section: Siret: Viret -An Interactive Lifelogmentioning

confidence: 99%

[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

Gurrin

Schoeffmann

Joho

et al. 2019

MTA

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The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. At the LSC, content-based search is performed over a multi-modal dataset, continuously recorded by a lifelogger over 27 days, consisting of multimedia content, biometric data, human activity data, and information activities data. In this work, we report on the first LSC that took place in Yokohama, Japan in 2018 as a special workshop at ACM International Conference on Multimedia Retrieval 2018 (ICMR 2018). We describe the general idea of this challenge, summarise the participating search systems as well as the evaluation procedure, and analyse the search performance of the teams in various aspects. We try to identify reasons why some systems performed better than others and provide an outlook as well as open issues for upcoming iterations of the challenge.

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Section: Siret: Viret -An Interactive Lifelogmentioning

confidence: 99%

[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

Gurrin

Schoeffmann

Joho

et al. 2019

MTA

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“…• VIRET [8,9] is a frame-based multi-modal video retrieval system developed at Charles University, Czech Republic. VIRET regularly (and successfully) participates at international interactive multimedia retrieval campaigns.…”

Section: Interactive Video Retrievalmentioning

confidence: 99%

Interactive Video Retrieval in the Age of Deep Learning

Lokoč

Schoeffmann

Bailer

et al. 2019

Proceedings of the 2019 on International Conference on Multimedia Retrieval

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We present a tutorial focusing on video retrieval tasks, where stateof-the-art deep learning approaches still benefit from interactive decisions of users. The tutorial covers general introduction to the interactive video retrieval research area, state-of-the-art video retrieval systems, evaluation campaigns and recently observed results. Moreover, a significant part of the tutorial is dedicated to a practical exercise with three selected state-of-the-art systems in the form of an interactive video retrieval competition. Participants of this tutorial will gain a practical experience and also a general insight of the interactive video retrieval topic, which is a good start to focus their research on unsolved challenges in this area.

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“…A similar version of liveXplore was deployed for the LSC2019 challenge [10], though not as successfully. Another system of note came from Charles University, Prague, with a repurposed an updated version of the VIRET video retrieval system [12]. Every day from the collection was treated as one 'video' represented by the lifelog images, with automatic annotations associated with each image using GoogleNet.…”

Section: Related Interactive Lifelog Retrieval Systemsmentioning

confidence: 99%

A Baseline Interactive Retrieval Engine for Visual Lifelogs at the NTCIR-14 Lifelog-3 Task

Ninh

Zhou

et al. 2019

NII Testbeds and Community for Information Access Research

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at the Lifelog task of NTCIR-14. In this paper, a new interactive retrieval engine is described that supports faceted retrieval and we present the results of an initial experiment with four users. Following this initial experiment, we implement a list of changes for a revised interactive retrieval engine for the LSC2019 comparative evaluation competition. The interactive retrieval system we describe utilises the wide range of lifelog metadata provided by the task organisers to develop an extensive faceted retrieval system.

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Using an Interactive Video Retrieval Tool for LifeLog Data

Cited by 19 publications

References 10 publications

[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

Interactive Video Retrieval in the Age of Deep Learning

A Baseline Interactive Retrieval Engine for Visual Lifelogs at the NTCIR-14 Lifelog-3 Task

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