Icaciem2017129 by ASDF Administartor

International Conference on Advances & Challenges in Interdisciplinary Engineering and Management

International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017]

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM129

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.129

Active Content Delivery Using Live Localization Scheme in Wireless Network 1,2

M Manikandan1, M Jayaprakash2 Associate Professor, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract: This paper proposed the efficient distribution of live and scheduled multimedia content to mobile users via a ubiquitous wireless Internet. The objective is to design and develop a dynamic content delivery system that (1) enables content owners to deliver their multimedia content to a large number of heterogeneous receivers, and (2) enables receivers to continuously receive that content, independent of their location and the network they connect to. Previous investigations into this topic have shown that multimedia content can be efficiently distributed through an overlay network that consists of multiple distributed proxy servers. In this paper, we extend this concept to the distribution of live and scheduled multimedia content through multiple aggregators. An aggregator is an intermediary content provider that aggregates live multimedia content from various content sources and delivers it to mobile users through a pool of proxy servers. The availability of the same content through multiple aggregators enables mobile users to switch from one aggregator to another, thus alternately receiving the same content from different aggregators. The service area of an aggregator may be restricted to a certain set of networks, in which case switching to such an aggregator also requires mobile hosts to handoff to a network that is part of the aggregator’s service area. To support roaming users, aggregators establish application-level roaming agreements between each other. These agreements enable users to receive channels from multiple aggregators while having a subscription with only a few of them. The system transparently switches mobile hosts from one aggregator to another and executes handoffs on the mobile host’s network interfaces. The system switches a mobile host to the aggregator that provides a certain channel in the best configuration, where ‘best’ is defined by the preferences of the end-user. Our analysis consists of two parts: (1) a heuristic analysis of the application and network-level delay components involved in a typical switch and an estimation of their bestcase values, and (2) an empirical analysis of the delay introduced by SIP transactions under various 802.11 network conditions. The analysis shows that the Live Localization Scheme (LLS) usually experiences little delay, except at the very edge of an 802.11 cell. Based on our implementation and measurement work, we conclude that the LLS System is a feasible system that provides a clear contribution to the multimedia-everywhere vision.

ISBN Website Received Article ID

978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM130

VOL eMail Accepted eAID

01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.130

Shadow Elimination Using Traffic Video Surveillance 1

Associate Professor,

2,3,4

Murugan S1, Sangeetha N 2, Sivasakthi S3, Suguna T4 UG Scholar, Department of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India

Abstract: Shadow detection and elimination is critical in traffic vision analysis, since shadow regions are often misclassified as object region. This leads to errors at segmentation stage and it results in poor tracking and a false classification of moving objects. This paper presents a novel shadow elimination approach that considers intensity properties through the histogram and texture features. First the segmentation of moving foregrounds is performed from background by using a background subtraction technique followed by K-means clustering. Then, we analyse the texture information and proximity in terms of similarity between a pair of segmented regions for determining shadow regions. At last step a Gaussian model is proposed to remove dynamic shadows. Experimental results validate the algorithm’s performance. This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.