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In this paper, a new image retrieving method is proposed, which integrates color features, and integrates color histogram, relevance feedback, the partition color and the genetic algorithms. First, by analyzing images' color histogram, dasiaexample imagespsila which have the same global color feature are founded out. Then, by using relevance feedback for these images, images which user thought are...
Content base image retrieval is an important research field with many applications. In this paper we presents a new approach for finding similar images to a given query, in a general-purpose image database using content-based image retrieval. Color and texture are used as basic features to describe images. In addition, a binary tree structure is used to describe higher level features of an image....
In this paper we describe an image-based rendering chain that realizes the free viewpoint video functionality throughout the whole scene. We summarize the most common problems that may be encountered in such an application and provide different solutions to each core stage of the rendering process. Moreover, we propose a novel way to specify the virtual camera's path that moves throughout the scene...
A novel design for an autostereoscopic (AS) display is demonstrated featuring a randomized hole distribution parallax barrier. The Random Hole Display (RHD) design eliminates the repeating zones found in regular barrier and lenticular autostereoscopic displays, enabling multiple simultaneous viewers in arbitrary locations. The primary task of a multi-user AS display is to deliver the correct and unique...
The paper proposes a mixed annotation approach that exploits the advantages of both automatic and manual annotation techniques. Annotated multimedia material is regarded as a source of low- to high-level feature mappings supporting the propagation of annotations to new multimedia material. Video analysis tools do not currently produce effective annotations for retrieval, while manual annotation is...
This paper focuses on a specific type of unedited video content, called rushes, which are used for movie editing and usually present a high-level of redundancy. Our goal is to automatically extract a summarized preview, where redundant material is diminished without discarding any important event. To achieve this, rushes content has been first analysed and modeled. Then different clustering techniques...
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. In this paper we propose a weighted similarity measure based on the nearest-neighbor relevance feedback technique proposed by the authors. Each image is ranked according to a relevance score depending on nearest-neighbor distances from relevant and non-relevant images. Distances are...
We present a non-parametric unsupervised colour image segmentation system that is fast and retains significant perceptual correspondence with the input data. The method uses a region merging approach based on statistics of growing local structures. A two-stage algorithm is employed during which neighbouring regions of homogeneity are traced using feature gradients between groups of pixels, thus giving...
In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). In this paper, we propose a method for evolutionary image segmentation based on multiobjective clustering. In this method, two objectives, overall deviation and edge value, are optimized simultaneously using a multiobjective...
In this paper, we propose a new method of affective cognitive of images. We use 9 pictures that constitute the famous psychologist Furnham's shape & color test as standard templates. In the HSV color space, we get a vector which has 72 dimensions by using part-division method on color character., and color characters are normalized, We measure the template image and other images the similarity...
We propose a novel way to apply independent component analysis (ICA) on eight kinds of visual descriptors (features), and combine the eight features of the same database to extract independent component (IC) feature of each feature. A comparative study on the retrieval performance has been done between the original features and IC features in four image databases. Experiment results show that the...
Intelligent Space or iSpace is a new kind of computing system aiming at improving the environments of humans, creating a natural and easy to use solution. Its main feature is that the intelligence is not implemented separately in the actors, but it is distributed in the whole space. In this paper, we present a hand gesture and movement recognition system, whose purpose is to be used as an intuitive...
During the last years, the amount of multimedia content has greatly increased. This has multiplied the need of efficient compression of the content but also the ability to search, retrieve, browse, or filter it. Generally, video compression and indexing have been investigated separately. However, as the amount of multimedia content grows, it will be very interesting to study representations that,...
Objects like field lines and players are important for semantic analysis in soccer video. In this paper, we propose effective methods for field lines and players detection and recognition. Regions of field lines and players are first segmented from shot of wide angle view. Gray value top-hat transform is then performed on the segmented region to detect field lines. Mid-lines, end-lines and penalty-lines...
We propose a novel graph-based transductive learning approach for interactive image segmentation. Here the term ldquotransductiverdquo indicates a process that iteratively propagates information from user-labeled regions to unlabeled image pixels. For the application of interactive image segmentation, transductive approach has several advantages compared with traditional color probabilistic model...
In this paper, we propose a new re-coloring algorithm to enhance the accessibility for the color vision deficient (or colorblind). Compared to people with normal color vision, people with color vision deficiency (CVD) have difficulty in distinguishing between certain combinations of colors. This may hinder visual communication owing to the increasing use of colors in recent years. To address this...
Spatial structure of objects is an important feature of images and making use of this feature properly is very important for the user in the retrieval system. However, only a third of the existing image retrieval systems use spatial features and those features are low precision features which are variant to rotation and shift. In this paper, a polygon-based spatial feature model is proposed to describe...
We propose a whole architecture for English to Spanish translation of the texts present on JPEG natural scene images taken with a mobile phone camera. We detect the text using the frequency information of the DCT coefficients, binarize it using a clustering-based algorithm, recognize it by the use of an OCR algorithm and translate and phonetically transcribe it from English to Spanish. The result...
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Wardpsilas method, with the latter three being different hierarchical methods. The quality of the clusters created by the algorithms was measured in terms of cluster cohesiveness and semantic cohesiveness, and both quantitative and predicate-based similarity criteria were considered.Two...
In this paper we present a new approach for tracking movements of human body in dynamic scenes. The body is characterized by a set of points of interest (PI) issued from Harris corner detector where every one is characterized by its local appearance and its position in each frame of the video sequence. Tracking is achieved by template matching between PI in a pair of consecutive frames in the sequence...
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