Dr Thyagharajan K K | R.M.D. ENGINEERING COLLEGE (original) (raw)

Uploads

Papers by Dr Thyagharajan K K

Objective: In recent times, the demand for high data rates is ever increasing in any wireless net... more Objective: In recent times, the demand for high data rates is ever increasing in any wireless network environment. Long Term Evolution-Advanced (LTE-A) is the latest 4G technology which is developed based on 3GPP specifications. Our main objective in this proposed research wok is to analyze the various packet scheduling algorithms for downlink real time data and present their scheduling metrics. Methods: In this review we considered more recent scheduling algorithms which are QoS aware and with specific focus on real time traffic classes such as VoIP, Video Streaming, Interactive Gaming and mobile video conference. Conclusion: Our most significant observation from this review is that any packet scheduling algorithm for downlink real time data should be QoS aware so that it is readily deployable in the present day multimedia networks. The scheduling schemes should also consider the latest technologies such as Carrier Aggregation (CA) and Multi Input and Multi Output (MIMO) Applications: The presented review will help the researchers and academicians to develop more efficient scheduling schemes for real time applications for smart phone users with better quality of experience and efficient radio resource management.

In this paper some of the different techniques used to localize the lips from the face are discus... more In this paper some of the different techniques used to localize the lips from the face are discussed and compared along with its processing steps. Lip localization is the basic step needed to read the lips for extracting visual information from the video input. The techniques could be applied on asymmetric lips and also on the mouth with visible teeth, tongue & mouth with moustache. In the process of Lip reading the following steps are generally used. They are, initially locating lips in the first frame of the video input, then tracking the lips in the following frames using the resulting pixel points of initial step and atlast converting the tracked lip model to its corressponding matched letter to give the visual information. A new proposal is also initiated from the discussed techniques. The lip reading is useful in Automatic Speech Recognition when the audio is absent or present low with or without noise in the communication systems. Human-Computer communication also will require speech recognition.

Colors in an image provides tremendous amount of information. Using this color information images... more Colors in an image provides tremendous amount of information. Using this color information images can be segmented, analyzed, labeled and indexed. In content based image retrieval system, color is one of the basic primitive features used. In Prevalent Color Extraction and indexing, the most extensive color on an image is identified and it is used for indexing. For implementation, Asteroideae flower family image dataset is used. It consist of more than 16,000 species, among them nearly 100 species are considered and indexed by dominating colors. To extract the most appealable color from the user defined images, the overall color of an image has to be quantized. Spatially, quantizing the color of an image to extract the prevalent color is the major objective of this paper. A combination of K-Mean and Expectation Minimization clustering algorithm called hidden-value learned K-mean clustering quantization algorithm is used to avoid the over clustering behavior of K-Mean algorithm. The experimental result shows the marginal differences between these algorithms.

The fused image derived from multimodality, multi-focus, multi-view and multidimensional, for rea... more The fused image derived from multimodality, multi-focus, multi-view and multidimensional, for real world applications in the field of medical imaging, remote sensing, satellite imaging, machine vision etc., are gaining much attention in the recent research. Therefore, it is important to validate the fused image in different perspectives such as information, edge, structure, noise and contrast for quality analysis. From this aspect, the information of fused image should be better than the source images without loss of information and false information. This survey is focused on analyzing the various quantitative metrics that are used in the literature to measure the enhanced information of fused image when it is compared to the source/reference images. The objective of this study is to group or classify the metrics under different categories such as information, noise, error, correlation and structural similarity measures for discussion and analysis. In reality, the calculated metric values are useful in determining the suitable fusion technique of the particular dataset with its required perspective as an outcome of the fusion process.

We proposed a method for Human action Recognition. It is based on the construction of a set of te... more We proposed a method for Human action Recognition. It is based on the construction of a set of templates for each activity. Each template is constructed based on the Accumulated Motion Image of the Video. Each template contains where motion has occurred in the video. FFT Transform is applied to each template. A 3D Spatiotemporal Volume is generated for each class. A Single action Maximum average Correlation height Filter is generated for each class. The filter is applied to the test video and using the threshold the actions are classified. The experiments are conducted on Weizmann dataset.

Image fusion is the process of combining multiple images into a single image without distortion o... more Image fusion is the process of combining multiple images into a single image without distortion or loss of information. The techniques related to image fusion are broadly classified as spatial and transform domain methods. In which, the transform domain based wavelet fusion techniques are widely used in different domains like medical, space and military for the fusion of multimodality or multi-focus images. In this paper, an overview of different wavelet transform based methods and its applications for image fusion are discussed and analysed.

H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in d... more H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.

The modality based medical image analysis for brain tumor studies is gaining much attention in re... more The modality based medical image analysis for brain tumor studies is gaining much attention in recent era due to the reason that a large amount of images has to be processed with clinical data to analyze different types of outcomes. The outcome may be diagnosis of diseases, computer assisted surgery, to predict the growth of a disease after a period, retrieving similar cases, drug discovery etc,. In the field of Computer Aided Disease Diagnosis (CAD), classification technique plays a major role in identifying the image/tissue as normal or abnormal. This paper focuses on the statistical and texture based Brain image classification using Support Vector Machine for different modalities (MRI, PET/SPECT) and also fused images of MRI and PET/SPECT. The result shows that the fused images are classified correctly (94%) with minimum false positive error rate than the single modality images.

Information is said to be valid and knowledgeable if all the subjects and objects with respect to... more Information is said to be valid and knowledgeable if all the subjects and objects with respect to a particular domain are all arranged in a quantitative manner. To design a semantic information retrieval system, all these subjects and objects with respect to its predicate have to be defined in the given database. This can be done by Ontology Engineering. The main scope of this paper is to build an intellectual semantic search framework, which has the combination of both textual semantic and visual semantics. As the number of available information increases, the use of classical ontology for information retrieval process will not provide satisfactory results. So, in this paper we have explained the construction of fuzzy ontology to identify the action of football game. By giving image as query, the system with the help of fuzzy ontology rule setup will identify the action performed in the image.

Information retrieval is one of the most common web service used. Information is knowledge. In ea... more Information retrieval is one of the most common web service used. Information is knowledge. In earlier days one has to find a resource person or resource library to acquire knowledge. But today just by typing a keyword on a search engine all kind of resources are available to us. Due to this mere advancement there are trillions of information available on net. So, in this era we are in need of search engine which also search with us by understanding the semantics of given query by the user. One such design is only possible only if we provide semantic to our ordinary HTML web page. In this paper we have explained the concept of converting an HTML page to RDFS/OWL page. This technique is incorporated along with natural language technology as we have to provide the Hyponym and Meronym of the given HTML pages. Through this automatic conversion the concept of intelligent information retrieval is framed.

Multimedia is one of the important means of communication channel for mankind. Due to the advance... more Multimedia is one of the important means of communication channel for mankind. Due to the advancement in technology and enormous growth in civilizations, there is a tremendous amount of multimedia data available today. This obviously calls for the development of some technique for retrieving these data. This paper will give an overview of one such ontology-based image retrieval system for the Asteroideae Flower Family domain. Initially, the image ontology, with respect to the selected low-level features such as prevalent color descriptor, edge histogram descriptor, color layout descriptor and Texton was created. Thus created ontology can be used as a back-end system for semantic-based image retrieval system.

Digital video information is some kind of proof for the events happening in our mankind. As captu... more Digital video information is some kind of proof for the events happening in our mankind. As capturing such kind of multimedia information is ease of work due to hand-held technology there are tremendous amount of such video in our Internet database. So, obviously we are in need of some technique for retrieving these data. This paper will give an initial analysis on the structure of digital video and the overall overview of video retrieval procedure which will give effective retrieval result.

Scalable Video Coding is an extension of H.264/AVC, which has better coding efficiency and scalab... more Scalable Video Coding is an extension of H.264/AVC, which has better coding efficiency and scalability in terms of temporal, spatial and quality levels and the Scalability is done based on the value of Quantization Parameter (QP). This paper aims to compare the quantization parameter value for Base Layer and Enhancement Layer. The bit rates and the PSNR generated under each layer of a YUV sequence for the assigned QP value in Base Layer and Enhancement Layer is compared using JSVM 9.19.5 SVC Reference Software Model, and the experimental results shows that the Base Layer assigned with small QP value than the Enhancement Layer generates better PSNR and reduced bit rate.