Shot Boundary Detection using Radon Projection
Method
B. Parul S Arora Bhalotra. ACEEE International Journal of Signal and Image Processing, 4 (3):
5(сентября 2013)
Аннотация
The detection of shot boundaries provides a base for
nearly all video abstraction and high-level video segmentation
approaches. Therefore solving the problem of shot boundary
detection is one of the major prerequisites for revealing
higher level video content structure. As a crucial step in video
indexing and retrieval, accurate shot boundary detection plays
an important role to organize and summarize video content
into meaningful shots for further scene analysis. Many
algorithms have been proposed for detecting video shot
boundaries and classifying shots and shot transition types. In
this paper we propose a novel technique for shot boundary
detection using radon transform. We first removed the effect
of illumination using DCT and DWT. Then shot boundary is
detected using radon transform. Radon transform is based on
projection of image intensity along a radial line oriented at a
specific angle. Projection of image intensity for current frame
is different than that of projection of the previous frame, where
shot boundary is detected. In order to verify the performance
of algorithm, experiments have been carried out with news,
documentary and movie. Experimental result demonstrates
efficiency of proposed shot boundary detection technique.
%0 Journal Article
%1 parulsarorabhalotra2013boundary
%A Parul S Arora Bhalotra, Bhushan D Patil
%D 2013
%E Das, Dr. Vinu V
%J ACEEE International Journal of Signal and Image Processing
%K DCT DWT Radon_projection
%N 3
%P 5
%T Shot Boundary Detection using Radon Projection
Method
%U http://searchdl.org/public/journals/2013/IJSIP/4/3/13.pdf
%V 4
%X The detection of shot boundaries provides a base for
nearly all video abstraction and high-level video segmentation
approaches. Therefore solving the problem of shot boundary
detection is one of the major prerequisites for revealing
higher level video content structure. As a crucial step in video
indexing and retrieval, accurate shot boundary detection plays
an important role to organize and summarize video content
into meaningful shots for further scene analysis. Many
algorithms have been proposed for detecting video shot
boundaries and classifying shots and shot transition types. In
this paper we propose a novel technique for shot boundary
detection using radon transform. We first removed the effect
of illumination using DCT and DWT. Then shot boundary is
detected using radon transform. Radon transform is based on
projection of image intensity along a radial line oriented at a
specific angle. Projection of image intensity for current frame
is different than that of projection of the previous frame, where
shot boundary is detected. In order to verify the performance
of algorithm, experiments have been carried out with news,
documentary and movie. Experimental result demonstrates
efficiency of proposed shot boundary detection technique.
@article{parulsarorabhalotra2013boundary,
abstract = {The detection of shot boundaries provides a base for
nearly all video abstraction and high-level video segmentation
approaches. Therefore solving the problem of shot boundary
detection is one of the major prerequisites for revealing
higher level video content structure. As a crucial step in video
indexing and retrieval, accurate shot boundary detection plays
an important role to organize and summarize video content
into meaningful shots for further scene analysis. Many
algorithms have been proposed for detecting video shot
boundaries and classifying shots and shot transition types. In
this paper we propose a novel technique for shot boundary
detection using radon transform. We first removed the effect
of illumination using DCT and DWT. Then shot boundary is
detected using radon transform. Radon transform is based on
projection of image intensity along a radial line oriented at a
specific angle. Projection of image intensity for current frame
is different than that of projection of the previous frame, where
shot boundary is detected. In order to verify the performance
of algorithm, experiments have been carried out with news,
documentary and movie. Experimental result demonstrates
efficiency of proposed shot boundary detection technique.},
added-at = {2014-01-17T06:37:55.000+0100},
author = {Parul S Arora Bhalotra, Bhushan D Patil},
biburl = {https://www.bibsonomy.org/bibtex/2a7d693201ae6bdbecf528cbfa8447419/ideseditor},
editor = {Das, Dr. Vinu V},
interhash = {826e7358a415be0e1e0d242b7492855a},
intrahash = {a7d693201ae6bdbecf528cbfa8447419},
journal = {ACEEE International Journal of Signal and Image Processing},
keywords = {DCT DWT Radon_projection},
month = {September},
number = 3,
pages = 5,
timestamp = {2014-01-17T06:37:55.000+0100},
title = {Shot Boundary Detection using Radon Projection
Method},
url = {http://searchdl.org/public/journals/2013/IJSIP/4/3/13.pdf},
volume = 4,
year = 2013
}