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Query-based video summarization

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Presentation on theme: "Query-based video summarization"β€” Presentation transcript:

1 Query-based video summarization
UCF REU 2016 Jacob Laurel Graduate Student Mentor: Aidean Sharghi Professor: Dr. Boqing Gong

2 Overview Create fully summarized data set for egocentric videos for nearly 50 queries Implement Baseline detection algorithm on dataset for selected pairs of queries, that will be provided by user

3 Weekly Progress Selected best user-query pairs for data set (i.e. β€œcar and window”) based on sampling a p.m.f over all possible queries, Q1 and Q2 πΆπ‘œπ‘’π‘›π‘‘ 𝑄 1 = { π‘†β„Žπ‘œπ‘‘ 1 … π‘†β„Žπ‘œπ‘‘ 𝑁 } 𝕝( 𝑄 1 ) πΆπ‘œπ‘’π‘›π‘‘ 𝑄 2 = { π‘†β„Žπ‘œπ‘‘ 1 … π‘†β„Žπ‘œπ‘‘ 𝑁 } 𝕝( 𝑄 2 ) 𝑃(π‘„π‘’π‘’π‘Ÿπ‘¦1,π‘„π‘’π‘’π‘Ÿπ‘¦2)∝ πΆπ‘œπ‘’π‘›π‘‘ 𝑄 1 βˆ— πΆπ‘œπ‘’π‘›π‘‘ 𝑄 2 πΆπ‘œπ‘’π‘›π‘‘ 𝑄 πΆπ‘œπ‘’π‘›π‘‘ 𝑄 2

4 Video Summary Data Collection and Experimental Design
Will give the user a global summary as well as the intersection of the set of all frames containing the first query with the set of all frames containing the second query Ideal video summary should have between ~ Frames

5 Next Steps Obtain overall (not query-specific) summary for each video
Obtain query-specific video summarizations for each pair of sampled queries

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