Privacy Protecting Trademark Identification System Using Cloud

Personal data are regulated by United Nations and urges States to implement effective measures to ensure that information concerning a person´s private life does not reach the hands of person who are not authorized by law to receive,process and use it.Thus private data are protected not only by law of States also by international laws, and concerning computer misuse

In accession to the binary images, the proposed method may be tested on discrete color images also. These type of

Thus our proposed optimal feature subset selection based on multi-level feature subset selection produced better results based on number of subset feature produced and classifier performance. The future scope of the work is to use these features to annotate the image regions, so that the image retrieval system can retrieve relevant images based on image semantics.

There are multitudes of information that are needed to be processed and collected by ROC system. Some of this information is sensitive, and therefore it must be well-secured and protected from potential risks (confidential) in order to avoid negative consequences. Some of the sensitive information is as follow:

First, the speed of accessing and retrieving of data relies heavily on how we organize materials. Also, the purposes of holding information allow society to maintain records of the past and present, to store data for later use, and the ability to access such information for knowledge. Lastly, examples of retrieval tools include catalogs, indexes, search engines, bibliographies, museum registries, and library portals. Chapter 11: Information Retrieval: Designing, Querying, and Evaluating Information Systems With the advances in technology, more information is available online for consumption. Additionally, the art of retrieving of information relies on one’s capability to find data and the effectiveness of search engines to find the most relevant resources.

While doing some of my research, I chose to use Computer Source as my database. The main subject of the database was trends in technology. It allowed me to search trends from any time which was particularly helpful for my topic. The type of search that can be completed using this database is Boolean searching. This type of searching style came in handy because the information I was searching for involved the cyber world, so it made it easier to differentiate which aspect of the cyber world I was researching. For example, differentiating between Cyber Terrorism and Terrorism or Cyber Warfare. Computer Source lets its users search by publication date rather than by scholarship level. Computer Source also showed similarities with Academic Search Complete in that they shared similar fields. But after conducting similar searches, Computer Source provided me with more relevant information. Overall, my search results were more refined and

Without proper cyber management implementation & prevention techniques, no corporate data is immune from cyber bandits. It is a known fact there are an increasing occurrence of data breaches within major corporations. There is a continuous dilemma on the protection of consumer data especially with major headlines with consumer data. Not only are there several media reports on consumer data but also on personal data in the cloud.

Stephen Edward Robertson is British famous information and computer scientist. He was born on 6 April 1946 in London and is the son of the well-known British scholar, Professor Charles Martin Robertson. His research and work basically involving information retrieval field of study where he had won a few academic awards. He completed his undergraduate studies with degree in mathematics at Cambridge University in 1967 and a year later he got his Masters of Science in City University, London. After his Master's degree, he works for the Association of Special Libraries and Information Bureaux (ASLIB) while continuing his PHD in University College London (UCL).

This index can only determine whether a word exists within a particular document, since it stores no information regarding the frequency and position of the word; it is therefore considered to be a Boolean index. Such an index determines which documents match a query but does not rank matched documents. In some designs the index includes additional information such as the frequency of each word in each document or the positions of a word in each document [1]. Position information enables the search algorithm to identify word proximity to support searching for phrases; frequency can be used to help in ranking the relevance of documents to the query. Such topics are the central research focus of information retrieval.

A content inventory is described by Usability.com (2012) as a list of all the website contents. The content or information is what a given website offers to the users. The content must be accurate and be at the right level of detail. The information must also be presented at the right tone using the right language.

For the articulated dataset, 45, 35 and 45 points are sample for RSD, RAD and TF. Retrieval result on articulated dataset was presented in Table I. We have noticed that result on 99shape from RAD is slightly better than RSD, while on articulated dataset RSD performs slightly better than RAD. During the above experiment, we tried to normalize the descriptors and found that experiment on 99 shapes received little influence from normalization while result from articulated dataset has some improvement.

item A novel correlation-based feature analysis method is presented to derive HCFGs for multimedia semantic retrieval on mobile devices. The proposed framework explores the mutual information from multiple modalities by performing correlation analysis for each feature pair and separating the original feature set into different HCFGs by using the affinity propagation algorithm at the feature level. Then, a novel fusion scheme is proposed to fuse the testing scores from selected HCFGs to obtain optimal performance. Finally, an iPad application is developed based on our proposed system with a user-feedback processing system to refine the retrieval results.

Research and development issues in CBIR cover a range of topics which shares with mainstream image processing and information retrieval. Some of the most important are:

Abstract— As there is vivid implementations in the multimedia technologies, users find it complex for retrieving information with traditional image retrieval techniques. The CBIR techniques are becoming an efficient techniques for exact and fast retrieval of images. CBIR is the technique which uses visual features of image such as shape, color, texture etc, to search the image based on the user requirements from large database according to the user request in the form of a query. In this paper various techniques of CBIR such as k-means clustering, k-nearest neighbors Algorithm (KNN), color structure descriptor (CSD), Text based image retrieval (TBIR) techniques which increase the effectiveness of fast retrieval are discussed and analyzed.

Multimedia database is a powerful platform to organize and structure every day multimedia data. Traditionally, a database contains collection of data related to a given entity, while a database management system, or DBMS, is a collection of interrelated data with set of programs used to define, create,