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Content-based video retrieval is very interesting point where it can be used in our daily life. Video retrieval is regarded as one of the most important in multimedia research. The development of multimedia data types there is demand of video retrieval system. Video retrieval can be used for video search and browsing which are useful in web applications. Selection of extracted features play an important...
In this work we present a low-dimensional color fragmentation-weighted histogram technique specifically designed for the query by sketch approach. It keeps into account the fragmentation colors have in an image and the assumption that the number of colors typically present in a sketch are almost always just a few. The algorithm has been implemented in DrawSearch, our prototype CBIR system. According...
Growth of the image mining arena calls for the need of quality image retrieval techniques in par with the human perception which are invariant to scale and rotation. An optimized content based image retrieval system based on local visual attention features to bridge the semantic gap problem is proposed. The approach involves the salient point detection using Scale Up Robust Features (SURF) detector...
With the increased spatial resolution of current sensor constellations, more details are captured about our changing planet, enabling the recognition of a greater range of land use/land cover classes. While pixel- and object-based classification approaches are widely used for extracting information from imagery, recent studies have shown the importance of spatial contexts for discriminating more specific...
An increasing number of photos in Internet photo collections comes with watermarks, timestamps, or frames (in the following called WTFs) embedded in the image content. In image retrieval, such WTFs often cause false-positive matches. In image clustering, these false-positive matches can cause clusters of different buildings to be joined into one. This harms applications like landmark recognition or...
In Content Based Image Retrieval system images from the database are processed and their features are extracted. These features are such that they describe some properties of the image. The features of the images are indexed to determine the similarity between them. However, the retrieved image is the one having maximum similarity with the input image. Several research papers were studied in order...
In the medical field accurate diagnosis is very crucial for successful treatment. With the rapid development of technology, the ever increasing quantity of medical images is produced in hospitals for diagnosing. Content-Based Image Retrieval (CBMIR) is a technique retrieves similar medical images from large database using visual features such as color, texture and shape. This paper focuses a novel...
Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during...
Multimedia technology is known as the single repository source for information retrieval that includes images, audio and video. Nowadays, it is growing with tremendous amount in the field of communication technology. Traditional text based retrieval techniques of information retrieval are inefficient at searching user's intended information from the large multimedia database. To address this problem,...
Content based image retrieval has become a major research interest recently. This paper presents an improved image similarity measure for image retrieval system. In the region based image comparison, two images are usually compared in terms of sum of the Euclidean distances among their regions. In this work, the image similarity measure is enhanced through a fuzzyfication of regions' importance and...
Pioneering approaches that are effectual and conducive involved in the retrieval of information accessible on the World Wide Web. The distinct features can be used for the retrieval process, but the problem is to how to integrate the feature values. The peculiar features such as texture and color are used for exhibiting the content of an image. In this paper, we introduce a Wavelet and Gabor based...
Considering the requirement for a more objective result of image retrieval, the features of image itself attract more and more attentions of researchers. Recently, the shape context of images is widely applied in image matching for its good invariance of translation and scale, as well as its good robust for small geometric distortion. Thus, the features of shape context are introduced in this paper...
Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. High spatial resolution images are complex and differ widely in their content, even in the same category. All images are more or less textured and structured. If the image to recognize is somewhat or very structured, a shape feature will be somewhat or very...
In content-based image retrieval, and for this critical issue of image feature fusion, paper proposes a new method to determine the weights for multi-feature fusion. In this paper, color histogram, color correlogram, gray level co-occurrence matrix, Tamura and Hu moments, this five kinds of feature extraction method was adopted. Firstly, use these five features conducted single feature retrieval on...
Natural-ordered complex Hadamard Transform (NCHT) is a novel discrete orthogonal transform and NCHT power spectrum is invariant to the cyclic shift of transformed data. In this paper, NCHT is used to derive new shape descriptor, namely NCHT based descriptor (NCHD) for image retrieval. In NCHD each shape contour is sampled first and expressed by a complex signature which captures both local contour...
A method of sketch-based image retrieval by using saliency is proposed. This paper introduces saliency based on the color contrast into the sketch-based image retrieval to solve the common problems of scale and translation. Moreover, an improved Hausdorff distance is proposed to increase punishment on outliers, which avoids the negative effects caused by the outliers. The experiment result shows that...
With the development of computer-aided education and digital library, there have emerged large numbers of digital documents online for education purposes. However, it is far from convenient to retrieve mathematic geometry questions because current retrieval systems largely rely on keywords instead of geometry figure images. We focus on plane geometry figure (PGF) image retrieval aiming at retrieving...
Huge variety of medicine cures diseases. But unlabeled pills sometimes confuse people, even causing adverse drug events. This paper introduces a high accuracy automatic pill recognition method based on pill imprint which is a main discriminative factor between different pills. To describe the imprint information clearly, we propose a Two-step Sampling Distance Sets (TSDS) descriptor based on Distance...
In this paper, we present a novel signature matching method based on supervised topic models. Shape Context features are extracted from signature shape contours which capture the local variations in signature properties. We then use the concept of topic models to learn the shape context features which correspond to individual authors. The approach consists of three primary steps. First, K-means is...
Image retrieval has been popular for several years. There are different system designs for content-based image retrieval (CBIR). So, it is very important to find effective and efficient feature extraction techniques. This paper proposes a new local approach for CBIR system which combines mechanisms including content-based image, as well as fuzzy systems. First, we exploit Beta Wavelet Network Analysis...
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