Papers for

digital media teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

AiSearch enables flexible image and video search with user feedback

AiSearch: Interactive Multi-Modal Search with VLMs

Abstract: Modern retrieval systems must both be automated and interactive, allowing users to search and refine results in real time. We present AiSearch, a flexible multimodal retrieval framework that leverages the zero shot capabilities of Vision Language Models (VLMs) for natural language search over images and videos. AiSearch supports interactive search refinement through user feedback to tailor results to the user's intent, and allows visual benchmarking across multiple VLMs, enabling users to select the most suitable model for their task.

Thu 1 OctArtificial IntelligenceComputer Vision and Pattern Recognition
The gist
Finding the right pictures or videos can be hard and often requires going back and forth to get better results. The authors created AiSearch, a tool that lets people search using natural language and also improve their search results by giving feedback. AiSearch works with different AI models trained to understand both pictures and words, helping users pick the model that fits their needs best. This makes searching visual content faster and more interactive.
Open → 2610.01389v1