Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 246 for “"Content-based"”.
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Content based image pose manipulation
… and images of planar scenes. The approach is based on examining the spatial frequency components in an image, to allow the inherent scene symmetry balance to be recovered. For face images with restricted pose variation (looking left or right), an algorithm is proposed to maximise this symmetry …
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Content based recommendation system & android application
… objective is to build a full-fledged android based mobile application through which users can try our recommendation system most probably i will use a Content-Based recommender system which one of the most popular types of recommendation system. Content-based filtering aims to calculate a …
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Preprocessing for content-based image retrieval
… The second technique is the K-NN classification based on the foreground and background probability. In the last chapter, the support vector machine (SVM) method with PCA-SIFT descriptors is applied in an attempt to improve classification into foreground and background salient region classes. …
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Content-based access to algebraic video
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Content-based indexing of low resolution documents
… resulted from poor lighting and noise. Content-Based Image Retrieval (CBIR) is considered among the most interesting and promising fields as far as image search is concerned. Image search is related with finding images that are similar for the known query image found in a given image …
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XSiena: The Content-Based Publish/Subscribe System
… producers and consumers. Moreover, the content-based nature of publish/subscribe systems provides a great degree of flexibility and expressiveness as far as construction of data flows is considered. However, a number of challenges and not yet addressed issued still exists in the area of …
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Feature histograms for content-based image retrieval
Die ständig wachsende Menge an verfügbaren Multimediadaten erfordert neuartige Methoden, die einen gezielten Zugriff auf diejenigen Daten ermöglichen, an denen man interessiert ist. Insbesondere hinsichtlich visueller Dateninhalte existiert noch keine befriedigende Lösung. Der klassische Ansatz - …
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Effective content-based retrieval from image databases
Includes bibliographical references (pages 76-84).
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Content Based Image Retrieval From Microscope Slides
Finally I developed a variation of hierarchical clustering which I call connected clustering. It groups neighboring images that are similar, allowing the system to treat them as a single unit. I show that this improves the response time of the system and reduces redundancy in the results displayed …
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Re-thinking and doing : content based audio
… includes an e‐book called Thinking and Doing: content based audio and an audio documentary mini‐series There is a Human Being by the Side of the Road which consists of two parts called Woman and Man. This paper looks into the broad concept that all my submitted work relates to; the audio …
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RELEVANCE FEEDBACK TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL
… learning has been developed in this research. Based on the set of relevant images identified by the user, the approach first extracts a significant set of features that characterises the relevant image set. It then uses this set of features to modify the original query to make it more similar …
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Content -Based Visualization and Retrieval for Image Libraries
Monte Carlo simulations with machine-generated layouts, pilot user studies, and experimental retrieval results from large image databases have demonstrated the capability of the proposed approaches for image retrieval applications.
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Content -Based Access of Image and Video Data
… deals with research topics in the area of content-based access of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. An emphasis is put on the learning and classification …
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A Content-Based Image Retrieval System for Fish Taxonomy
… technology. In this paper, we propose a content-based image retrieval system for taxonomic research. The system can identify representative body shape characters of known species based on digitized landmarks and provide statistical clues for assisting taxonomists to identify new species …
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Techniques for Content-based Image Characterization in Wavelets Domain
… techniques aiming to improve the performance of content-based image retrieval (CBIR) systems in wavelets domain using texture analysis. Attention was drawn on CBIR in transform domain and in particular wavelets because of the excellent characteristics for compression and texture extraction …
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Content based video retrieval via spatial-temporal information discovery.
Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources representation and access. The framework, however, ignores spatial and temporal …
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VRAG: Region Attention Graph for Content-Based Video Retrieval
Content-based Video Retrieval (CBVR) is used on media-sharing platforms for applications such as video recommendation and filtering. To manage databases that scale to billions of videos, video-level approaches that use fixed-size embeddings are preferred due to their efficiency. In this paper, we …
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Multimedia Content-Based Indexing and Recognition in Digital Libraries
… example, text data is searched by analyzing the contents of the text itself. One might execute a search using a method as simple as looking for the ASCII file name, or as complex as parsing large quantities of text and analyzing it with intelligent algorithms. However, searches are not limited to …
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Modeling the successes and failures of content-based platforms
… value to society through their original content. Content from these platforms informs many spheres of life—software development, finance, and academic research, among many others. Motivated by their content's powerful applications, we refer to these platforms as content-based platforms …
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