In this article, we introduce an application of swarm intelligence to distributed visual information retrieval distributed over networks. Based on the relevance feedback scheme, we use ant-like agents to crawl the network and to retrieve relevant images. Agents movements are influenced by markers stored on the hosts. These markers are reinforced to match the distribution of relevant images over...

In content based image retrieval (CBIR) system, search engine retrieves the images similar to the query image according to a similarity measure. It should be fast enough and must have a high precision of retrieval. Indexing scheme is used to achieve a fast response and relevance feedback helps in improving the retrieval precision. In this paper, a human perception based similarity measure is pr...

In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to provide much feedback, the insufficiency of training samples limits the success of relevance feedback. In this paper, we propose two strategies to tackle this problem: (i) to make relevance feedback more informative by pre...

We discuss the use of Case-Based Reasoning (CBR) to drive an Information Retrieval (IR) system. Our hybrid CBR-IR approach takes as input a standard frame-based representation of a problem case, and outputs texts of relevant cases retrieved from a document corpus dramatically larger than the case base available to the CBR system. While the smaller case base is accessible by the usual case-based...

The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self-organizing technique for content-based image retrieval. In this paper, we apply the visual content descriptors provided by MPEG-7 in our PicSOM system and compare our own image indexing technique with a reference syst...

this study aims to better understand the effect of practice schedule and feedback providing types. in two separate experiments the contextual interference effect in bandwidth and self-control feedback conditions on relative and absolute timing learning was examined. in experiment i, the effect of contextual interference using bandwidth and self-control feedback on absolute timing learning (para...

the aim of this paper is to investigate a novel approach for output feedback damping controller design ofstatcom in order to enhance the damping of power system low frequency oscillations (lfo). the design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (hbmo...