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Abstract
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Article Information:
A Novel Compression for Enormous Motion Data in Video Using Repeated Object Clips [ROC]
S. Lavanya, S. Ramakrishnan and V. Vaithiyanathan
Corresponding Author: S. Lavanya
Submitted: March 18, 2012
Accepted: April 14, 2012
Published: December 15, 2012 |
Abstract:
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Entertainment industry is roofed with audio, video, graphics and multimedia. It deals with large
variety of data. As the data increases, it becomes a troublesome problem especially in large database or realtime
and telepresence applications, where the memory, bandwidth and storages are limited. So, in this study
we propose, a novel compression method, which is achieved by video content analysis using Repeated Object
Clips [ROC]. To achieve ROC, the key frame selection algorithm is used. In key frame selection process, we
extract key frame from total number of frames. For selection process, initially frame separation process is
carried out, then object detection and object segmentation is performed by level set method. By this novel
technique moving object was tracked effectively and compression ratio increased significantly.
Key words: Compression, computer vision, detection, frame, key frame, segmentation,
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Cite this Reference:
S. Lavanya, S. Ramakrishnan and V. Vaithiyanathan, . A Novel Compression for Enormous Motion Data in Video Using Repeated Object Clips [ROC]. Research Journal of Applied Sciences, Engineering and Technology, (24): 5400-5405.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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