Paper Info
Title
Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming
Abstract
Video is human's favorite multimedia data type due to its abundant amount of information and intuitive experience compared with text, audio, and image. With rapid progress of computer and network technologies, the amount of video data increases fast, massive storage and frequent retrieval inevitably lead to huge spatio-temporal cost, and how to manage the massive video data efficiently becomes a challenging issue. Key frame extraction is considered as one of the most critical issues in video processing. In this paper, we introduce a novel key frame extraction method based on sparse modeling. Assume that each video frame signal can be expressed as a linear combination of the representative key frames and formulate the problem of finding the representatives as a sparse vector problem. We consider a sparsity measure that is based on the determinant of the Gram matrix of the signals. Based on this measure, we propose a novel key frame extraction formulation based on sparse modeling with the determinant measure of sparsity. The formulation can be expressed as the difference of two convex functions, making the objective function neither convex nor concave. Thus the formulation cannot be easily solved by standard convex optimization methods. Difference of convex (DC) programming is introduced to solve the optimization problem.
Year
DOI
Venue
2017
10.1109/MCSoC.2017.8
2017 IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Keywords
Field
DocType
Sparse representation,key frame extraction,determinant,difference of convex (DC) programming
Video processing,Computer science,Algorithm,Feature extraction,Convex function,Linear programming,Key frame,Optimization problem,Convex optimization,Sparse matrix
Conference
ISBN
Citations 
PageRank 
978-1-5386-3442-4
0
0.34
References 
Authors
17
5
Name
Order
Citations
PageRank
Yujie Li125742.93
Benying Tan244.87
Shuxue Ding323533.84
Incheon Paik424138.80
Atsunori Kanemura57512.78