"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments
Ziyi Zhang, Zhen Sun, Zongmin Zhang, Zifan Peng, Yuemeng Zhao, Zichun Wang, Zeren Luo, Ruiting Zuo, Xinlei He·May 07, 2025
Summary
The "I Can See Forever!" study benchmarks real-time VideoLLMs for visually impaired assistance, focusing on daily activities. GPT-4o demonstrates the highest task success rate. Challenges in perceiving hazards in dynamic environments are addressed through SafeVid and a polling mechanism. This work offers insights for future assistive technology development. Various studies and models, including Chatglm, Video-llama, and VIALM, are discussed, highlighting advancements and challenges in the field.
Introduction
Background
Overview of visually impaired assistance technologies
Importance of real-time VideoLLMs in daily activities
Objective
To benchmark real-time VideoLLMs for visually impaired assistance
To identify the most effective model for daily activities
Method
Data Collection
Selection of models for comparison (GPT-4o, Chatglm, Video-llama, VIALM)
Gathering data on daily activities for benchmarking
Data Preprocessing
Preparation of data for model training and testing
Ensuring data quality and relevance for visually impaired scenarios
Results
Model Performance
Evaluation of GPT-4o, Chatglm, Video-llama, and VIALM
Analysis of task success rates and challenges
Challenges Addressed
Perceiving hazards in dynamic environments
Implementation of SafeVid and polling mechanism for enhanced safety
Discussion
Insights on Future Assistive Technology Development
Lessons learned from the study
Potential improvements and future research directions
Comparison of Various Studies and Models
Analysis of advancements and challenges in the field
Highlighting the role of real-time VideoLLMs in assistive technology
Conclusion
Summary of Findings
Recap of the most effective model and its performance
Implications for Future Work
Recommendations for future research and development in assistive technology
Final Thoughts
Importance of ongoing innovation in real-time VideoLLMs for visually impaired assistance
Basic info
papers
computer vision and pattern recognition
human-computer interaction
multimedia
artificial intelligence
Advanced features
Insights
How does the SafeVid mechanism address challenges in perceiving hazards in dynamic environments?
What innovative approaches are introduced in the 'I Can See Forever!' study for improving task success rates?
What are the core components of the VideoLLMs discussed in the 'I Can See Forever!' study?
What are the compatibility considerations for integrating GPT-4o with existing assistive technologies?