TY  - JOUR
T1  - Effective Video Retrieval Using Pencil Screen Pattern
Filter and Eigen based Indexing
AU - Packialatha, A. AU - Chandrasekar, A. 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 6
SP  - 486
EP  - 492
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.486.492
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.486.492
KW  - PSPF (Pencil Screen Pattern Filter)
KW  -key frame formation
KW  -eigen value matrices
KW  -grid encoding
KW  -index table
KW  -object key frame
AB  - In recent past, videos form a large part of data in the internet. Due to its ability to attract audience
of all age groups, a large group of websites dedicated to browsing and watching videos have mushroomed. But
regrettably, search engines do not give sufficient importance to retrieve videos. In all the video-oriented
websites, the search is based on keywords typed in which produces unrelated output in terms of relevancy.
To achieve content-based video retrieval, we suggest PSPF (Pencil Screened Pattern Filter). In the proposed
system, the background key frame and object key frame of each and every shot of the video is obtained. Then
the morphological shape of the background and objects are acquired and represented as a matrix of 0 and 1
based on grid encoding. The eigen values of these grid encoded matrices are used as metadata for indexing and
retrieving videos. An index table is maintained based on the eigen values of the background key frame matrices.
The index table is organized in such a way that the background key frame matrices of videos with related eigen
values divide the adjacent field in the table. The eigen values of objects in the video are associated with the
background key frame in the index table by means of linear chaining. Thus, we have effectively utilized the
squat level characteristics of video to achieve ontological recovery of videos.
ER  -