AN EFFECTIVE APPROACH FOR VIDEO COPY DETECTION USING SIFT FEATURES (20150098)
Authors :
SHWETA V. EKSAMBEKAR
, PROF. P.D.PANGE
Abstracts : A SIFT features is an effective approach for
video copy detection. To detect and describe local
features in images scale-invariant feature
transform is used. The purpose of video copy
detection is to decide whether a video segment is a
copy of video from train video database or not. SIFT
image features provide a set of features of such as
object scaling and rotation. We first use dualthreshold
method to segment the videos into
segments with homogeneous content which helps to
extract key frames from each segment. SIFT features
are extracted from the key frames of the segments.
SIFT features are very flexible to the effects of
"noise" in the image. SIFT Applications
include object recognition, robotic mapping and 3D
modeling, navigation, image stitching, video
tracking, gesture recognition, , individual
identification of wildlife and match moving.
Pages : 34-37
Downloads : 97
Publication Date : 2016-06-25
Modified Date : 2016-06-25
Cite/Export
SHWETA V. EKSAMBEKAR ,
PROF. P.D.PANGE ,
"AN EFFECTIVE APPROACH FOR VIDEO COPY DETECTION USING SIFT FEATURES", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 2, Issue 6, ISSN : 2581-4230, Page No. 34-37