Privacy Protecting Trademark Identification System Using Cloud

Data mining has popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. The current approaches and techniques are explained for mining multimedia data. This paper analyzes about the use of essential characteristics of multimedia data mining, retrieving information is one of the goals of data mining and different issues have been discussed.

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

On the reduction basis, smaller database stored in the form of projections since only the trainee images.

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:

Abstract - Content based image retrieval is an image search technique which uses content of features such as colour, texture, shape, etc. to find relevant images from large collection of data according to user’s request query image on the basis of similarity in features or content that means feature from query image compared with features from image database. The problem arises that large number of features may cause high dimensionality curse. To avoid dimensionality curse, feature selection method is used

Shape is an important visual feature and it is one of the basic features used to describe image content. However, shape representation and description is a difficult task. This is because when a 3-D real world object is projected onto a 2-D image plane, one dimension of object information is lost. As a result, the shape extracted from the image only partially represents the projected object. To make the problem even more complex, shape is often corrupted with noise, defects, arbitrary distortion and occlusion. Further it is not known what is important in shape. Current approaches have both positive and negative attributes; computer graphics or mathematics use effective shape representation which is unusable in shape recognition and vice versa. In spite of this, it is possible to find features common to most shape description approaches Usually, Shape features can be extracted from an image by using two kinds of methods: contour and regions. Contour based methods are normally used to extract the boundary features of an object shape. Such methods completely ignore the important features inside the boundaries. Region-based image retrieval methods firstly apply segmentation

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

• Feature detection which is detecting a feature of interest on a reference image and a sensed image

Initially [4] the images similar to the query image are extracted from a large group of medical images. Then the search is by accelerating the retrieval process with the help of Support Vector Machine (SVM) classifier. The performance of the retrieval system is enhanced by adapting the subjective feedback method of Support Vector Machine (SVM) classifier. The performance of the retrieval system is enhanced by adapting the subjective feedback method.

Personal privacy today is a controversial and complex topic, which is influenced by a number of factors. There is an integral role that databases play in this highly debated topic. The fact that many people now carry out their transactions electronically is another important factor. There is also pressure on personal privacy for increased national security around the world to combat terrorism. In addition, personal privacy is even threatened by commercial factors and the Internet.

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.

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.

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.