Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
43 results
Search Results
Item A novel CBCD approach using MPEG-7 motion activity descriptors(2011) Roopalakshmi, R.; Guddeti, G.Motion features contribute significant information about a video content. This paper highlights a novel CBCD (Content-Based Copy Detection) approach, by incorporating several motion activity features. First, we extract both temporal and spatial motion features to describe overall activity of a video sequence. Second, we combine these features in a feasible manner, to generate robust video fingerprints. Third, clustering based pruned search is utilized for similarity matching instead of direct searching of video fingerprints. The proposed system is tested on TRECVID-2007 data set and the results demonstrate the effectiveness of the proposed system against several transformations such as random noise, fast forward, pattern insertion, cropping and picture-inside-picture. © 2011 IEEE.Item Cross layer service driven adaptive retry limit for IEEE 802.11 mobile ad-hoc networks(2011) Manjappa, M.; Guddeti, G.Traffic in future Mobile Ad-Hoc Network (MANET) is expected to carry a mix of real time multimedia, and non real time file transfer etc. Providing Quality of Service (QoS) for these different applications is difficult and the current research on MANET is choosing the Cross Layer Design for providing QoS. The packet loss due to collision is misinterpreted by MANET as route failure and this triggers route maintenance phase causing unnecessary overhead resulting in low throughput. In this paper, we propose a service driven cross layer model in order to increase the throughput by dynamically adjusting the limits of Request to Send (RTS) retransmission for different flows in the network according to the priority. Simulation is done in NS-2 and the proposed method is compared with IEEE 802.11 DCF MAC using two ad-hoc routing protocols namely AODV and DSR. The results show that the prioritized flow achieves higher throughput over un-prioritized flow when compared to IEEE 802.11 MAC. © 2011 IEEE.Item Towards a new approach to video copy detection using acoustic features(2011) Roopalakshmi, R.; Guddeti, G.Acoustic features are robust and powerful in video description, but not fully exploited for the emerging Content-Based video Copy Detection (CBCD) methods. To solve this discrepancy, this paper proposes a new CBCD approach using audio spectral features compared to existing visual content based methods. The proposed method incorporates three stages: 1) Extraction of spectral descriptors including centroid and energy; 2) Integration of resultant features to compute highly informative spectral descriptive words; 3) Utilization of clustering approach to speed up the similarity matching process. The results tested on TRECVID-2008 dataset, demonstrate the improved detection accuracy of proposed method (up to 27.845%) compared to reference methods against various transformations such as fast forward, slow motion, mp3 compression, and multiband companding. © 2011 IEEE.Item Throughput enhancement of the prioritized flow in self aware MANET based on neighborhood node distances(2011) Manjappa, M.; Guddeti, G.Mobility causes frequent link failures in ad hoc network resulting in packet losses. Another cause of packet loss is collision which MANET misinterprets as link failure and triggers route maintenance phase. Triggering of this unnecessary route maintenance phase adds extra overhead to the network resulting in low throughput. In this paper a Quality of Service (QoS) aware cross layer model PrioritizedQoS (PrQoS) is proposed to improve the throughput of the prioritized flow in Self Aware MANET. According to the distance of the receiving node from the transmitting node, which is found using Received Signal Strength, packets are treated differently in lower layers by dynamically adjusting the Request To Send (RTS) retry limit based on the priority of the flow. The simulation is done in ns-2 and the PrQoS is compared with the traditional methods i.e. default behavior of the protocols. The results show that the prioritized flow achieves higher throughput than the unprioritized flow when compared to traditional method. Further the PrQoS also avoids unnecessary route re-discovery attempts by finding the root cause of the packet drop based on the distance between the nodes thereby reducing the network load. © 2011 IEEE.Item Recent advances and future potential of computer aided diagnosis of liver cancer on computed tomography images(2011) Arakeri, M.P.; Guddeti, G.Liver cancer has been known as one of the deadliest diseases. It has become a major health issue in the world over the past 30 years and its occurrence has increased in the recent years. Early detection is necessary to diagnose and cure liver cancer. Advances in medical imaging and image processing techniques have greatly enhanced interpretation of medical images. Computer aided diagnosis (CAD) systems based on these techniques play a vital role in the early detection of liver cancer and hence reduce death rate. The concept of computer aided diagnosis is to provide a computer output as a second opinion in analysis of liver cancer. It assists radiologist's image interpretation by improving accuracy and consistency of radiological diagnosis and also by reducing image analysis time. The main objective of this paper is to provide an overview of recent advances in the development of CAD systems for analysis of liver cancer. Medical imaging system based on computer tomography will be focused as it is particularly suitable for detecting liver tumors. The paper begins with introduction to liver tumors and medical imaging techniques. Then the key CAD techniques developed recently for liver tumor detection, classification, case-based reasoning based on image retrieval and 3D reconstruction are presented. This article also explores the future key directions and highlights the research challenges that need to be addressed in the development of CAD system which can help the radiologist in improving the diagnostic accuracy. © Springer-Verlag 2011.Item Efficient fuzzy clustering based approach to brain tumor segmentation on MR images(2011) Arakeri, M.P.; Guddeti, G.Image segmentation is one of the most vital and significant step in medical applications. The conventional fuzzy c-means (FCM) clustering is the most widely used unsupervised clustering method for brain tumor segmentation on magnetic resonance (MR) images. However, the major limitation of the conventional FCM is its huge computational time and it is sensitive to initial cluster centers. In this paper, we present a novel efficient FCM algorithm to eliminate the drawback of conventional FCM. The proposed algorithm is formulated by incorporating distribution of the gray level information in the image and a new objective function which ensures better stability and compactness of clusters. Experiments are conducted on brain MR images to investigate the effectiveness of the proposed method in segmenting brain tumor. The conventional FCM and the proposed method are compared to explore the efficiency and accuracy of the proposed method. © 2011 Springer-Verlag.Item Survey paper: Mobility management in heterogeneous wireless networks(2012) Chandavarkar, B.R.; Guddeti, G.Ever increasing user demands and development of modern communication technologies have led to the evolution of communication networks from 1st Generation (1G) network to 4G heterogeneous networks. Further, 4G with heterogeneous network environment will provide features such as, "Always Best Connected", "Anytime Anywhere" and seamless communication. Due to diverse characteristics of heterogeneous networks such as bandwidth, latency, cost, coverage and Quality of Service (QoS) etc., there are several open and unsolved issues namely mobility management, network administration, security etc. Hence, Designing proficient mobility management to seamlessly integrate heterogeneous wireless networks with all-IP is the most challenging issue in 4G networks. Mobile IPv6 (MIPv6) developed by Internet Engineering Task Force (IETF) has mobility management for the packet-switched devices of homogeneous wireless networks. Further, mobility management of homogeneous networks depends on network related parameter i.e., Received Signal Strength (RSS). However the mobility management of heterogeneous networks, not only depends on network related parameters, but also on terminal-velocity, battery power, location information, user-user profile & preferences and service-service capabilities & QoS etc. Designing mobility management with all-IP, while, considering issues such as context of networks, terminal, user and services is the main concern of industry and researchers in the current era.Item An approach for color edge detection with automatic threshold detection(2012) Arpitha, M.D.; Arakeri, M.P.; Guddeti, G.Edge is an important feature for image segmentation and object detection. Edge detection reduces the amount of data needed to process by removing unnecessary features. Edge detection in color images is more challenging than edge detection in gray-level images. This paper proposes a method for edge detection of color images with automatic threshold detection. The proposed algorithm extracts the edge information of color images in RGB color space with fixed threshold value. The algorithm works on three channels individually and the output is fused to produce one edge map. The algorithm uses the Kuwahara filter to smoothen the image, sobel operator is used for detecting the edge. A new automatic threshold detection method based on histogram data is used for estimating the threshold value. The method is applied for large number of images and the result shows that the algorithm produces effective results when compared to some of the existing edge detection methods. © 2012 Springer-Verlag.Item Syntactic and semantic feature extraction and preprocessing to reduce noise in bug classification(2012) Agrawal, R.; Guddeti, G.In software industry a lot of effort is spent in analyzing the bug report to classify the bugs. This Classification helps in assigning the bugs to the specific team for Bug Fixing according to the nature of the bug. In this paper, we have proposed a data mining technique applying syntactic and semantic Feature Extraction to assist developers in bug Classification. Extracted features are organized into different feature groups then a specific preprocessing technique is applied to each feature group. The applied methods have reduced the noise in the bug data compared to traditional approach of word frequency for text categorization. We have analyzed our approach on a collection of bug reports collected from a networking based organization (CISCO).The experiments are performed using Naive Bayes Multinomial Model and Support Vector Machine on features obtained after preprocessing. © 2012 Springer-Verlag.Item Cognitive network layer in MANETs mobility aware routing protocol(2012) Zakeerhusen, A.G.; Manjappa, M.; Guddeti, G.It is intended to add cognition to make cognitive network layer in order to design and develop Quality of Service (QoS) aware adaptive routing protocol in Mobile Adhoc Networks (MANETs). QoS-aware routing is challenging as nodes in the network are free to move, the topology will be changing dynamically. Performance of AODV will be less when nodes in the network are highly mobile. In this paper, Mobility Aware Routing Protocol (MARP) model is proposed to extract a core part in MANET that is stable in terms of mobility of the nodes. This core part is a subset of MANET mobile nodes through which transmission will be done. Here selection of paths through this extracted core can ensure more QoS in time. The MARP model not only provides a better way to discover a QoS but it considers an efficient route maintenance scheme by selecting the route which has more stability as source is having knowledge about other available paths. Since MARP is multipath routing protocol, route maintenance is easy and it robust. By simulation MARP show better performance over existing AODV-on demand routing protocol. © 2012 Springer-Verlag.