Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
This paper presents findings of the eleventh Video Browser Showdown competition, where
sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized …
sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized …
Learning to retrieve videos by asking questions
The majority of traditional text-to-video retrieval systems operate in static environments, ie,
there is no interaction between the user and the agent beyond the initial textual query …
there is no interaction between the user and the agent beyond the initial textual query …
Long-term leap attention, short-term periodic shift for video classification
Video transformer naturally incurs a heavier computation burden than a static vision
transformer, as the former processes T times longer sequence than the latter under the …
transformer, as the former processes T times longer sequence than the latter under the …
Reinforcement learning enhanced PicHunter for interactive search
With the tremendous increase in video data size, search performance could be impacted
significantly. Specifically, in an interactive system, a real-time system allows a user to …
significantly. Specifically, in an interactive system, a real-time system allows a user to …
Evaluating Performance and Trends in Interactive Video Retrieval: Insights from the 12th VBS Competition
This paper conducts a thorough examination of the 12th Video Browser Showdown (VBS)
competition, a well-established international benchmarking campaign for interactive video …
competition, a well-established international benchmarking campaign for interactive video …