Experiments in interactive video search by addition and subtraction

We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system is intended to maximize the use of the discriminative power of the human searcher. This is accomplished by providing a hierarchical segmentation, streamlined interface, and redundant visual cues throughout. The typical search scenario includes a single searcher with the ability to search with text and content-based queries. In this paper, we evaluate new variations on our basic search system. In particular we test the system using only visual content-based search capabilities, and using paired searchers in a realtime collaboration. We present analysis and conclusions from these experiments. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval: Information Search and Retrieval]: search process, retrieval models General Terms Algorithms, Design, Experimentation, Human Factors Keywords Mult...

• Type: Conference
• Year: 2008
• Where: CIVR
• Authors: John Adcock, Matthew L. Cooper, Jeremy Pickens
• Keywords: CIVR 2008, Image Analysis, Interactive Video Search, Typical Search Scenario, Visual Content-based Search