LifeSeeker

Le, Tu-Khiem; Ninh, Van-Tu; Dang-Nguyen, Duc-Tien; Tran, Minh-Triet; Zhou, Liting; Redondo, Pablo Lucio de la Fuente; Smyth, Sinéad; Gurrin, Cathal

doi:10.1145/3326460.3329162

Cited by 17 publications

(4 citation statements)

References 14 publications

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“…Hence, there is a compelling need for appropriate retrieval systems that accurately remind a lifelogger about past moments. Rigorous comparative benchmarking tasks have been dealing with this issue such as Lifelog Semantic Access Task (LSAT) at NTCIR-14c [55], lifelog moment retrieval (LMRT) at the ImageCLEFlifelog 2019 [56] and the Lifelog Search Challenge (LSC) at ACM ICMR2019 [57]. The task throughout these three competitions is similar.…”

Section: Lifelog Moment Retrievalmentioning

confidence: 99%

“…In order to cope with the weaknesses of the automatic retrieval process, user involvement process has been integrated aiming to enhance the quality of results through feedback mechanism. With the advent of the Lifelog Search Challenge (LSC), a number of interactive retrieval systems have been designed to support interactive retrieval from lifelogs [57]. LIFER2.0 is used as baseline system for Lifelog Moment Retrieval (LMRT) task in ImageCLEF2019.…”

Section: Lifelog Moment Retrievalmentioning

confidence: 99%

See 1 more Smart Citation

Overview of Lifelogging: Current Challenges and Advances

et al. 2021

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Lifelogging is the process of digital tracking of person's daily experiences in varying amounts of details, for a variety of purposes. In recent years, lifelogging has become an increasingly popular area of research due to the growing demands from many applications, such as video surveillance, entertainment, healthcare systems, and intelligent environments. Furthermore, the advancements in devices technology offer the promise to record and store large volumes of personal data in a very cheap manner, using an inexpensive tool. However, the rapid access to this huge deluge of unlabeled and unstructured data and automatically processing it to recognize everyday experiences, still present major challenges. A large number of research have been conducted in recent years to cover different lifelogging aspects, but there is still a lack of studies that provide a comprehensive survey of the available literature, and most of the existing lifelogging surveys generally focus on only one aspect. This review highlights the advances of stateof-the-art in lifelogging from different angles, including its research history, current applications, activity recognition techniques, moment retrieval, storytelling, privacy and security issues, as well as challenges and future research trends.

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Section: Lifelog Moment Retrievalmentioning

confidence: 99%

Section: Lifelog Moment Retrievalmentioning

confidence: 99%

Overview of Lifelogging: Current Challenges and Advances

et al. 2021

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“…The system of the HCMUS team at LSC 2019 [12] enhanced the metadata by defining personalized visual concepts and creates an interface to navigate images in a sequence for temporal event verification. The Lifeseeker system [13] employed the Bag-of-Words model for text retrieval and query expansion using a Word2Vec model [17] pre-trained on GoogleNews dataset. Figure 1 illustrates the overview of our retrieval system.…”

Section: Related Workmentioning

confidence: 99%

FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020

Tran

Nguyen

Tran

et al. 2020

Proceedings of the Third Annual Workshop on Lifelog Search Challenge

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Lifelog can provide useful insights of our daily activities. It is essential to provide a flexible way for users to retrieve certain events or moments of interest, corresponding to a wide variation of query types. This motivates us to develop FIRST, a Flexible Interactive Retrieval SysTem, to help users to combine or integrate various query components in a flexible manner to handle different query scenarios, such as visual clustering data based on color histogram, visual similarity, GPS location, or scene attributes. We also employ personalized concept detection and image captioning to enhance image understanding from visual lifelog data, and develop an autoencoderlike approach for query text and image feature mapping. Furthermore, we refine the user interface of the retrieval system to better assist users in query expansion and verifying sequential events in a flexible temporal resolution to control the navigation speed through sequences of images. CCS CONCEPTS • Information systems → Search interfaces; Multimedia databases; • Human-centered computing → Interactive systems and tools.

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“…Visual log retrieval is one of the important problems to analyse and understand visual content. Different approaches have been proposed to provide users with various modalities to input queries and get retrieved results [17,18,26]. Visual semantic concepts from images are usually used as tags or keywords for interactive retrieval systems [26,25].…”

Section: Related Work 21 Visual Retrieval With Semantic Conceptsmentioning

confidence: 99%

Privacy Preserving Visual Log Service with Temporal Interval Query using Interval Tree-based Searchable Symmetric Encryption

Pham¹

2020

IJCAI

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Visual logs become widely available via personal cameras, visual sensors in smart environments, or surveillance systems. Storing such data in public services is a common convenient solution, but it is essential to devise a mechanism to encrypt such data to protect sensitive information while enabling the capability to query visual content even in encrypted format at the services. More precisely, we need smart systems that their security and practicality must be balanced against each other. As far as we know, in spite of their importance in preserving personal privacy, such reliable systems have not gained sufficient attention from researchers. This motivates our proposal to develop a smart secure service for visual logs with a temporal interval query. In our system, visual log data are analyzed to generate high-level contents, including entities, scenes, and activities happening in visual data. Then our system supports data owners to query these high-level contents from their visual logs at the server-side in a temporal interval while the data are still encrypted. Our searchable symmetric encryption scheme TIQSSE utilizes interval tree structure and we prove that our scheme achieves efficient search and update time while also maintaining all important security properties such as forward privacy, backward privacy, and it does not leak information outside the desired temporal range.Povzetek: Problem uravnoteženja proizvodne poti je predstavljen odprto, brez omejitev npr. števila delavcev, zato je izviren. Avtorji testirajo več algoritmov in predlagajo najboljšega.

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LifeSeeker

Cited by 17 publications

References 14 publications

Overview of Lifelogging: Current Challenges and Advances

Overview of Lifelogging: Current Challenges and Advances

FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020

Privacy Preserving Visual Log Service with Temporal Interval Query using Interval Tree-based Searchable Symmetric Encryption

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