LifeInsight 2.0: An Enhanced Approach for Automated Lifelog Retrieval in LSC'24

被引：0

作者：

Gia-Huy Vuong ^{[1
]}

Van-Son Ho ^{[1
]}

Tien-Thanh Nguyen-Dang ^{[1
]}

Xuan-Dang Thai ^{[1
]}

Minh-Triet Tran ^{[1
]}

Thang-Long Nguyen-Ho ^{[2
]}

Minh-Khoi Pham ^{[2
]}

Tu-Khiem Le ^{[2
]}

Van-Tu Ninh ^{[2
]}

Healy, Graham ^{[2
]}

Gurrin, Cathal ^{[2
]}

机构：

[1] Vietnam Natl Univ, Univ Sci, VNU HCM, Ho Chi Minh City, Vietnam

[2] Dublin City Univ, Dublin, Ireland

来源：

PROCEEDINGS OF 2024 ACM WORKSHOP ON THE LIFELOG SEARCH CHALLENGE, LSC 2024 | 2024年

基金：

爱尔兰科学基金会;

关键词：

lifelog; interactive retrieval; automatic retrieval; spatial insights; AI-based assistance;

D O I：

10.1145/3643489.3661112

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce the LifeInsight 2.0 system - an enhanced version of LifeInsight, built specifically for the sixth annual Lifelog Search Challenge (LSC'23). LifeInsight 2.0 leverages the core functionalities of LifeInsight while incorporating significant improvements to address performance bottlenecks. This refined architecture aims to deliver superior search capabilities within the LSC'24. LifeInsight 2.0 employs an ensemble approach combining two powerful foundation models: CLIP (Contrastive Language-Image Pretraining) and BLIP2 (Bootstrapping Language-Image Pretraining) model. In addition, the system incorporates a temporal query mechanism and an automatic query parser. The former enables LifeInsight 2.0 to interpret queries that include time-based information, while the latter specifically handles tasks involving question answering.

引用

页码：1 / 6

页数：6

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