DocumentCode :
3597077
Title :
Hierarchical summarization for easy video applications
Author :
Sudhakar, Nithya ; Chandran, Sharat
Author_Institution :
Dept. of Comput. Sci. & Eng., IIT Bombay, Mumbai, India
fYear :
2015
Firstpage :
69
Lastpage :
72
Abstract :
With growing use of videos, demand on retrieval video applications has become intense. Most existing methods that analyze the semantics of a video build specific models; for example, ones that aim at event detection, or targeted video albumization. These might be called as application specific works and useful in their own right. In this paper, however, we propose a video abstraction framework that unifies the creation of various applications, rather than the application itself. Specifically, we present a dictionary summarization of a video that provides abstractions at various hierarchical levels such as pixels, frames, shots, and the complete video. We illustrate the usability of our model with four different “apps”.
Keywords :
video coding; dictionary summarization; easy video applications; hierarchical summarization; retrieval video applications; video abstraction framework; Buildings; Computational modeling; Dictionaries; Feature extraction; Motion pictures; Semantics; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
Type :
conf
DOI :
10.1109/MVA.2015.7153135
Filename :
7153135
Link To Document :
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