Browsing by Keywords "Image retrieval"
Now showing items 1-20 of 35
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Authorship attribution: performance of various features and classification methods
(IEEE, 2007-11)Authorship attribution is the process of determining the writer of a document. In literature, there are lots of classification techniques conducted in this process. In this paper we explore information retrieval methods ... -
Bilkent University at TRECVID 2005
(National Institute of Standards and Technology, 2005-11)We describe our second-time participation, that includes one high-level feature extraction run, and three manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a ... -
Bilkent university at TRECVID 2006
(National Institute of Standards and Technology, 2006-11)We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system ... -
Bilkent University at TRECVID 2007
(National Institute of Standards and Technology, 2007)We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common ... -
COST292 experimental framework for TRECVID 2006
(National Institute of Standards and Technology, 2006)In this paper we give an overview of the four TRECVID tasks submitted by COST292, European network of institutions in the area of semantic multimodal analysis and retrieval of digital video media. Initially, we present ... -
The COST292 experimental framework for TRECVID 2007
(National Institute of Standards and Technology, 2007)In this paper, we give an overview of the four tasks submitted to TRECVID 2007 by COST292. In shot boundary (SB) detection task, four SB detectors have been developed and the results are merged using two merging algorithms. ... -
El yazısı belgelerde kelime tabanlı arama
(IEEE, 2008-04)Bu çalışmada el yazısı belgelerde arama yapabilmek için yeni yöntemler önerilmiştir. Bu çalışmadaki en temel varsayım ve yola çıkış noktası; her bir kelimenin resim gibi ele alınabileceği ve dolayısıyla resim arama teknikleri ... -
Ensemble of multiple instance classifiers for image re-ranking
(Elsevier Ltd, 2014)Text-based image retrieval may perform poorly due to the irrelevant and/or incomplete text surrounding the images in the web pages. In such situations, visual content of the images can be leveraged to improve the image ... -
Fuzzy color histogram-based video segmentation
(Academic Press, 2010)We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for content-based copy detection applications. The proposed method aims to detect both cuts and gradual transitions (fade, dissolve) ... -
GCap: Graph-based automatic image captioning
(IEEE, 2004)Given an image, how do we automatically assign keywords to it? In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods for automatic image captioning. Moreover, it is ... -
A histogram-based approach for object-based query-by-shape-and-color in image and video databases
(Elsevier, 2005)Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized ... -
Image information mining using spatial relationship constraints
(Bilkent University, 2012)There is a huge amount of data which is collected from the Earth observation satellites and they are continuously sending data to Earth receiving stations day by day. Therefore, mining of those data becomes more important ... -
Image mining using directional spatial constraints
(Institute of Electrical and Electronics Engineers, 2010-01)Spatial information plays a fundamental role in building high-level content models for supporting analysts' interpretations and automating geospatial intelligence. We describe a framework for modeling directional spatial ... -
Interactive training of advanced classifiers for mining remote sensing image archives
(ACM, 2004)Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ... -
İçerik tabanlı görüntü erişimi için sahne sınıflandırması
(IEEE, 2008-04)Son yıllarda çok geniş veri tabanlarının kullanımıyla birlikte içerik tabanlı görüntü indekslemesi ve erişimi önemli bir araştırma konusu halini almıştır. Bu çalışmada, görüntü indekslemesi için sahne sınıflandırmasını baz ... -
İki durumlu bir beyin bilgisayar arayüzünde özellik çıkarımı ve sınıflandırma
(IEEE, 2017-10)Beyin bilgisayar arayüzü (BBA) teknolojisi motor nöronlarının özelliğini kaybeden ve hareket kabiliyeti kısıtlanmış ALS ve felçli hastalar gibi birçok kişinin dış dünya ile iletişimini sağlamaya yönelik kullanılmaktadır. ... -
Learning bayesian classifiers for scene classification with a visual grammar
(IEEE, 2005)A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ... -
Learning bayesian classifiers for scene classification with a visual grammar
(IEEE, 2005-03)A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ... -
Learning visual similarity for image retrieval with global descriptors and capsule networks
(Bilkent University, 2021-07)Finding matching images across large and unstructured datasets plays an im-portant role in many computer vision applications. With the emergence of deep learning-based solutions, various visual tasks such as image retrieval ... -
Man-made object classification in SAR images using 2-D cepstrum
(IEEE, 2009-05)In this paper, a novel descriptive feature parameter extraction method from Synthetic Aperture Radar (SAR) images is proposed. The new method is based on the two-dimensional (2-D) real cepstrum. This novel 2-D cepstrum ...
