Preprint / Working Paper2024Cited by 1

Segment Anything Model (SAM 2) Unveiled: Functionality, Applications, and Practical Implementation Across Multiple Domains

Jahanggir Hossain Setu, Mahmudul Islam, Syed Tangim Pasha, Nabarun Halder, Ekram Hossain, Asif Mahmud, Ashraful Islam, Md. Zahangir Alam, M. Ashraful Amin

MDPI AG

MDPI AG

Abstract

Segment Anything Model 2 (SAM 2) is a state-of-the-art development by Meta AI Research, designed to address the limitations of its predecessor, SAM, particularly in the realm of video segmentation. SAM 2 employs a transformer-based architecture enhanced with streaming memory, enabling real-time processing for both images and videos. This advancement is important given the exponential growth of multimedia content and the subsequent demand for efficient video analysis. Utilizing the SA-V dataset, SAM 2 excels in handling the intricate spatio-temporal dynamics inherent in video data, ensuring accurate and efficient segmentation. Key features of SAM 2 include its ability to provide real-time segmentation with minimal user interaction, maintaining robust performance even in dynamic and cluttered visual environments. This study provides a comprehensive overview of SAM 2, detailing its architecture, functionality, and diverse applications. It further explores the model's potential in improving practical implementations across various domains, emphasizing its significance in advancing real-time video analysis.

Keywords

  • Segment Anything Model 2
  • video segmentation
  • real-time segmentation
  • transformer models
  • spatiotemporal dynamics
  • interactive segmentation
  • real-time video analysis

CCDS Authors

Syed Tangim Pasha
Syed Tangim Pasha

Syed Tangim Pasha

  • Collaborator, HCI Wing
  • Lecturer

    Department of Computing and Information System

    Daffodil International University, Bangladesh

Published at

UbiComp

Nabarun Halder
Nabarun Halder

Nabarun Halder

  • Research Assistant, CCDS

Published at

UbiComp, IJCNN, HCII, Pattern Recognition, IEEE Access

Ekram Hossain
Ekram Hossain

Ekram Hossain

  • Collaborator, HCI Wing
  • Research Data Engineer II

    University of Rochester Medical Center

Asif Mahmud
Asif Mahmud

Asif Mahmud

  • Co-Director, IPT Wing
  • Lecturer

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, Pattern Recognition, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, Pattern Recognition, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

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