Abstract-The use of web search engines are very frequent and common worldwide over the internet b... more Abstract-The use of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. These pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). These SRRs may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web search engines. This paper takes the review of such systems. Key words-Web Database,...
The uses of web search engines are very frequent and common worldwide over the internet by end us... more The uses of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. Such pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). Sometimes it becomes troublesome to extract relevant data from diverse sources. The SRRs generated may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web searc...
Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a cli... more Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a clip in order to provide an easily interpreted synopsis. The main aim of Video summarization is to provide clear analysis of video by removing duplications and extracting key frames from the video. Video Summarization will divide the frames of the video into blocks and calculating the mean, variance, skew, kurtosis histogram of every block and comparing the same with the corresponding blocks of the next frame. There are many different methods used for Key frame extraction in video Summarization. Some important methods are compared. The frame with highest mean is selected as the key frame. The best method is selected based on the color distribution.
Abstract: Recovery from node fault is now a day’s getting more attention in the sense of wireless... more Abstract: Recovery from node fault is now a day’s getting more attention in the sense of wireless sensor network. Direct diffusion algorithm, grade diffusion algorithm, reduce identical event transmission algorithm and reduce identical composite event transmission algorithm were used as the traditional approaches for identifying the node fault. The fault node recovery algorithm is a combination of grade diffusion algorithm and genetic algorithm. This algorithm increases the number of alive nodes and reduces the data losses and also reduces the rate of energy consumption. In this article we overview all the traditional approaches for fault node detection and replacement. Merits and demerits of all the traditional approaches are also described here.
The use of web search engines are very frequent and common worldwide over the internet by end use... more The use of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. These pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). These SRRs may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web search engines. This paper takes the review of such systems. Key words-Web Database, Annotati...
Abstract-The use of web search engines are very frequent and common worldwide over the internet b... more Abstract-The use of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. These pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). These SRRs may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web search engines. This paper takes the review of such systems. Key words-Web Database,...
The uses of web search engines are very frequent and common worldwide over the internet by end us... more The uses of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. Such pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). Sometimes it becomes troublesome to extract relevant data from diverse sources. The SRRs generated may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web searc...
Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a cli... more Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a clip in order to provide an easily interpreted synopsis. The main aim of Video summarization is to provide clear analysis of video by removing duplications and extracting key frames from the video. Video Summarization will divide the frames of the video into blocks and calculating the mean, variance, skew, kurtosis histogram of every block and comparing the same with the corresponding blocks of the next frame. There are many different methods used for Key frame extraction in video Summarization. Some important methods are compared. The frame with highest mean is selected as the key frame. The best method is selected based on the color distribution.
Abstract: Recovery from node fault is now a day’s getting more attention in the sense of wireless... more Abstract: Recovery from node fault is now a day’s getting more attention in the sense of wireless sensor network. Direct diffusion algorithm, grade diffusion algorithm, reduce identical event transmission algorithm and reduce identical composite event transmission algorithm were used as the traditional approaches for identifying the node fault. The fault node recovery algorithm is a combination of grade diffusion algorithm and genetic algorithm. This algorithm increases the number of alive nodes and reduces the data losses and also reduces the rate of energy consumption. In this article we overview all the traditional approaches for fault node detection and replacement. Merits and demerits of all the traditional approaches are also described here.
The use of web search engines are very frequent and common worldwide over the internet by end use... more The use of web search engines are very frequent and common worldwide over the internet by end users for different purposes. A web search engine takes the query request from the end user and executes that query on relational database used to store the information on behalf of that web search engine. Based on input queries the dynamic response is generated by search engine, in the form of HTML based pages. These pages are supported with the web databases. Every web page generated contains many results to display for particular query, called as Search Result Records (SRRs). These SRRs may contain data units that are relevant to one common semantic. These SRRs are further required to be assigned with proper labels. The manual methods for record extraction and labeling have a worse scalability. Thus automatic annotation based method is needed to improve the accuracy as well as scalability of web search engines. This paper takes the review of such systems. Key words-Web Database, Annotati...
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Papers by Jiby Joseph