Prosemantic features for content-based image retrieval

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-18449-9_8Revised Selected Papers of 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009We present here, an image description approach based on prosemantic features. The images are represented by a set of low-level features related to their structure and color distribution. Those descriptions are fed to a battery of image classifiers trained to evaluate the membership of the images with respect to a set of 14 overlapping classes. Prosemantic features are obtained by packing together the scores. To verify the effectiveness of the approach, we designed a target search experiment in which both low-level and prosemantic features are embedded into a content-based image retrieval system exploiting relevance feedback. The experiments show that the use of prosemantic features allows for a more successful and quick retrieval of the query images

Social website technologies and their impact on society

Introduction Web applications have dominated the concerns of most people because they take a lot of their time. Among the most prominent of these concerns is the social networking that is available through social network applications on the internet. Social websites have impacted heavily on social and national identity as well as on the social bonding within the community. Why does the social network matter? Human nature is generally social and people like to live in a community rather than in isolation. Social networks play this role electronically by connecting people as a community regardless of the distance. Evidence shows that these applications are attractive and have a strong influence in various areas. The deductive approach has been used in this chapter which analysed texts relevant to the subject of the study. Descriptive documentary in the collection of information from sources and references associated with the subject of the study described and employed an approach to describe the phenomenon as list of the diagnosis and detection aspects to determine the relationship between elements with a prospect for the future and predict scientific outcomes