HCMUS at the NTCIR-14 Lifelog-3 Task Nguyen-Khang Le, Dieu-Hien - - PowerPoint PPT Presentation

hcmus at the ntcir 14 lifelog 3 task
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HCMUS at the NTCIR-14 Lifelog-3 Task Nguyen-Khang Le, Dieu-Hien - - PowerPoint PPT Presentation

HCMUS at the NTCIR-14 Lifelog-3 Task Nguyen-Khang Le, Dieu-Hien Nguyen, Trung-Hieu Hoang, Thanh-An Nguyen, Thanh-Dat Truong, Duy-Tung Dinh, Quoc-An Luong, Viet-Khoa Vo-Ho Vinh-Tiep Nguyen, Minh-Triet Tran University of Science, VNU-HCM, Ho Chi


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HCMUS at the NTCIR-14 Lifelog-3 Task

Nguyen-Khang Le, Dieu-Hien Nguyen, Trung-Hieu Hoang, Thanh-An Nguyen, Thanh-Dat Truong, Duy-Tung Dinh, Quoc-An Luong, Viet-Khoa Vo-Ho Vinh-Tiep Nguyen, Minh-Triet Tran

University of Science, VNU-HCM, Ho Chi Minh City, Vietnam University of Information Technology, VNU-HCM, Vietnam.

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Outline

  • 1. Lifelog-3 task
  • 2. Retrieval System Overview

○ Data processing ○ User interaction

  • 3. Experiment
  • 4. Result
  • 5. Conclusion

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Lifelog-3 task

  • 1. Advance the research in lifelogging
  • 2. Three sub-tasks:

○ Lifelog Insight Task (LIT) ○ Lifelog Activity Detection Task (LADT) ○ Lifelog Semantic Access Task (LSAT) ■ Interactive manner ■ Automatic manner

  • 3. Dataset:

42 days

Multimedia, Biometrics, Human Activity, Computer Usage

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Retrieval System Overview

  • 1. Offline data processing
  • 2. User interaction

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Retrieval System Overview

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Scene classification

  • Model: Residual Network (ResNet)
  • Dataset: Places365-Standard dataset

○ 102 scene attributes ○ 365 scene categories

  • Filter attributes, categories

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Scene classification

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Object detection

  • COCO Object detection

○ 80 concepts, 11 super-categories

  • Habit-based object detection

○ A set of detectors ○ To detect concepts in the lifelogger’s daily activities 8

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Object detection

  • COCO Object detection

○ Faster R-CNN ○ MS COCO Dataset

  • Habit-based object detection

○ Faster R-CNN ○ Extracted from Open Images Dataset V4 9

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Open Images Dataset V4

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Habit-based object detection

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Habit-based object detection

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User interaction

  • A friendly user web interface that allow the user to:

○ Input criteria (scene, concepts, time, .etc) ○ Traverse back and forth from a moment ○ Modify answer 13

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User interaction

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User interaction

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User interaction

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User interaction

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Experiment

  • Find the moment when User 1 was eating ice-cream

beside the sea 18

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Experiment

  • Find the moment when User 1 was eating fast food

alone in a restaurant. 19

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Results

  • Highest result in NTCIR-14 LSAT
  • Rank 1 in ImageCLEF 2019 Lifelog - LMRT
  • Top 3 LSC Lifelog Search Challenge (LSC 2019)

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Conclusion

  • Retrieval System

○ Data processing, User interaction ○ Use visual information

  • Future work

○ Make use of other metadata ○ Automatic run 21

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THANK YOU

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Methods comparison

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Lifelog Semantic Access Task (LSAT)

  • Retrieve specific moments in the lifelogger's life
  • Example: Find the moment when User 1 was eating ice-

cream beside the sea. 24