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cs.MM2025
Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
Bastian Jäckl, JiÅà Kruchina, Lucas Joos +3
Multimodal deep-learning models power interactive video retrieval by ranking keyframes in response to textual queries. Despite these advances, users must still browse ranked candid…
cs.MM2025
Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Bastian Jäckl, VojtÄch Kloda, Daniel A. Keim +1
Querying with text-image-based search engines in highly homogeneous domain-specific image collections is challenging for users, as they often struggle to provide descriptive text q…
cs.MM2025
Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Bastian Jäckl, VojtÄch Kloda, Daniel A. Keim +1
Advances in multimodal text-image models have enabled effective text-based querying in extensive image collections. While these models show convincing performance for everyday life…