This paper presents algorithms to deal with problems associated with indexing high-dimensional feature vectors, which characterize video data. Indexing high-dimensional vectors is well known to be computationally expensive. Our solution is to optimally split the high dimensional vector into a few low dimensional feature vectors and querying the system for each feature vector. This involves solving an important subproblem: developing a model of retrieval which enables us to query the system efficiently. Once we formulate the retrieval problem in terms of a retrieval model, we present an optimality criterion to maximize the number of results using this model. The criterion is based on a novel idea of using the underlying probability distribution of the feature vectors. A branch-and-prune strategy optimized per each query, is developed. This uses the set of features derived from the optimality criterion. Our results show that the algorithm performs well, giving a speedup of a factor of 25 with respect to a linear search, while retaining the same level of recall.
Conference Committee Involvement (11)
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
10 February 2015 | San Francisco, California, United States
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014
3 February 2014 | San Francisco, California, United States
Multimedia Content Access: Algorithms and Systems VII
4 February 2013 | Burlingame, California, United States
Multimedia Content Access: Algorithms and Systems VI
23 January 2012 | Burlingame, California, United States
Multimedia Content Access: Algorithms and Systems V
25 January 2011 | San Francisco Airport, California, United States
Multimedia Content Access: Algorithms and Systems IV
21 January 2010 | San Jose, California, United States
Multimedia Content Access: Algorithms and Systems III
21 January 2009 | San Jose, California, United States
Multimedia Content Access: Algorithms and Systems II
30 January 2008 | San Jose, California, United States
Multimedia Content Access: Algorithms and Systems
31 January 2007 | San Jose, CA, United States
Multimedia Content Analysis, Management, and Retrieval 2006
18 January 2006 | San Jose, California, United States
Storage and Retrieval Methods and Applications for Multimedia 2005
18 January 2005 | San Jose, California, United States
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