Innovative Research Design Solutions

We specialize in advanced research design, focusing on dataset construction, hierarchical model development, and validation to enhance video analysis and address biases in multimodal data.

A close-up of a woman's face with a surprised or expressive look, showing raised eyebrows and wide-open eyes. The head is slightly tilted, and the image is in black and white, highlighting facial features and expressions.
A close-up of a woman's face with a surprised or expressive look, showing raised eyebrows and wide-open eyes. The head is slightly tilted, and the image is in black and white, highlighting facial features and expressions.

Comprehensive Research Design

We specialize in advanced research design, focusing on multimodal video analysis and causal inference methodologies.

Dataset Construction

Collect diverse videos with multimodal annotations to enhance understanding and address biases effectively.

Close-up of a video camera filming a person sitting in front of neon lights. The person is blurred out in the background while their face is clearly visible on the camera's screen.
Close-up of a video camera filming a person sitting in front of neon lights. The person is blurred out in the background while their face is clearly visible on the camera's screen.
Model Development

Utilize GPT-4 API for encoding video frames into natural language descriptions for enhanced analysis.

Test and validate models on public datasets and custom scenarios to ensure accuracy and reliability.

Validation & Optimization
A black and white image of a group of people, with a focal point on a crying child being held by an adult. The child appears to be in distress, while the surrounding adults and children have various expressions, some looking away or engaged in other activities.
A black and white image of a group of people, with a focal point on a crying child being held by an adult. The child appears to be in distress, while the surrounding adults and children have various expressions, some looking away or engaged in other activities.
A close-up view of a person's face focusing on the eyes, showing detailed textures of the skin and natural expression.
A close-up view of a person's face focusing on the eyes, showing detailed textures of the skin and natural expression.
A close-up black and white photograph capturing the side profile of a person with their mouth wide open, displaying emotions such as exhaustion or surprise. The image is focused on the facial features, particularly the mouth and eye, highlighting the textures of the skin.
A close-up black and white photograph capturing the side profile of a person with their mouth wide open, displaying emotions such as exhaustion or surprise. The image is focused on the facial features, particularly the mouth and eye, highlighting the textures of the skin.

Technical Advance: A “vision-language-audio” joint embedding framework to increase video summarization ROUGE-L scores from 0.62 to 0.75+, enabling key event extraction in long videos (>1 hour).

Societal Impact: Case studies in security and education showing AI reduces video review labor costs by 40% and mitigates cultural misjudgments (e.g., mislabeling traditional attire as suspicious).