[PDF] Top 20 The Reality of the Semantic Gap in Image Retrieval

... automatic image annotation techniques can take us some way across the semantic gap and may enable us to reach the label representation of Section 2, above, as we have shown in Section 3, even a very ... See full document

... the retrieval utility of visual images is generally realised in terms of their inferred semantic ...the image and the connotation(s) to which it gives ...tic image retrieval’ to the ... See full document

... for image retrieval ...based image retrieval (CBIR) searches and retrieves digital images in large databases by analysis of derived-image ...the semantic gap, defined as ... See full document

... For real high dimension data set, it is very difficult to specify the parameters of the number of clusters, agglomerative and divisive threshold, density threshold, and the grid granularity by prior knowledge. The common ... See full document

... To verify the applicability of color models and effective color feature extraction methods for semantically meaningful image retrieval, the results are noted for three semantic classes t[r] ... See full document

... proposed image retrieval system model was constructed based on a literature review that involves background reading, surveying and reviewing related research in the area of bridging the semantic ... See full document

... web image classification and search ,etc. In particular, image annotation can aid in image retrieval since annotated keywords greatly shrink the semantic gap between low-level ... See full document

... Ontology-based image retrieval is an effective approach to bridge the semantic gap because it is more focused on capturing semantic content which has the potential to satisfy user ... See full document

... Web image search engine provide you some of irrelevant ...the semantic gap of how an human eyes and brain visualize an image is not equivalent of how a machine ... See full document

... a semantic space for image retrieval using a linear algebraic ...global image feature such as the RGB ...the semantic gap between image descriptors and keywords in a ... See full document

... the semantic gap, the effective way is the image ...annotation-based image retrieval (ABIR).Words can be inherently semantic, and standard keyword-based search techniques can ... See full document

... Medical image retrieval to search for clinically relevant and visually similar images depicting suspecious lesions have been attracting research ...Content-based image retrieval (CBIR) is an ... See full document

... Abstract- Semantic-based image retrieval (SBIR) is a retrieval technique based on the intuition of ...a semantic gap (disparity between the retrieved images and the user desired ... See full document

... any Image Retrieval task it is widely known that text-based search is usually more efficient than visual-based ...multimedia retrieval. Because of the semantic gap problem, obtaining of ... See full document

... describe semantic objects in ...convey semantic mean- ...represent semantic concepts has been addressed for years in pattern ...low-level image primitives were com- bined in a suitable ... See full document

... keeping in mind the end goal to make these available to all, computerized libraries assume a crucial part. The idea of a computerized library is not restricted to simple filtering of books and reports. These filtered ... See full document

... Information Retrieval [IR] is a method used for searching documents, searching information contained by documents, and for searching metadata about documents, and also for relational databases searching and the ... See full document

... on image concepts like color or texture which most people are not familiar ...pose semantic queries using textual descriptions and find images relevant to those semantic ...these image ... See full document

... Background: Virtual reality (VR) training using modern game consoles is an innovative rehabilitation method for fall-prone elderly people. The aim of this study was to assess the effectiveness of VR training using ... See full document

... in image processing vis as vis classification technique for effective ...achieving image clustering using a K- and Fuzzy K- means approaches. Image clustering has made segmegation more effective and ... See full document