نتایج جستجو برای: visual database

تعداد نتایج: 615489  

2012
ildus Ahmadullin Jan Allebach Ildus Ahmadullin

 Similarity Pyramid: Browsing a Document Database with ildus Ahmadullin, Jan Allebach HP Laboratories HPL-2012-21 Document database management; document visual similarity; similarity pyramid; Isomap Managing large document databases has become an important task. Sorting documents with respect to their visual similarity and layout features, and visualization of the whole document database is a ...

1996
Gökhan Kutlu Bruce A. Draper J. Eliot B. Moss Edward M. Riseman Allen R. Hanson

A visual application is an application that manipulates visual data as part of its processing. Visual applications need to represent, manipulate, store, and retrieve both raw and processed visual data. Existing relational and object-oriented database systems fail to offer satisfactory visual data management support because they lack the kinds of representations, storage structures, indices, acc...

2008
Anish Das Sarma Amol Deshpande Thomas Hubauer Ihab Ilyas Birgitta König-Ries Matthias Renz Martin Theobald

The following summary tries to capture a collection of state-of-the-art techniques and challenges for future work on lineage management in uncertain and probabilistic databases that we discussed in our working group. It was one half of a larger committee that we had initially formed, which then got split into two groups—one focusing on lineage as a means of explanation of data, and one focusing...

2010
Nikolay Ponomarenko Vladimir Lukin Alexander Zelensky Karen Egiazarian Jaakko Astola Marco Carli Federica Battisti

In this paper, a new image database, TID2008, for evaluation of full-reference visual quality assessment metrics is described. It contains 1700 test images (25 reference images, 17 types of distortions for each reference image, 4 different levels of each type of distortion). Mean Opinion Scores (MOS) for this database have been obtained as a result of more than 800 experiments. During these tes...

2017
Aasia Ali Sanjay Sharma

Image retrieval is a very imperative area of digital image processing. Images can be retrieving from a large database on the basis of text, color, structure or content. Content-based image retrieval uses the visual fillings of an image such as texture, color, shape, & spatial layout to represent and index the image. In typical CBIR systems, the visual content of the pictures in the database are...

2015
Jason Vandeventer Andrew J. Aubrey Paul L. Rosin A. David Marshall

The 4D Cardiff Conversation Database (4D CCDb) is the first 4D (3D Video) audio-visual database containing natural conversations between pairs of people. This publicly available database contains 17 conversations which have been fully annotated for speaker and listener activity: conversational facial expressions, head motion, and verbal/non-verbal utterances. It can be accessed at http://www.cs...

2007
Wendy Chang Aidong Zhang Tanveer Fathima Syeda-Mahmood

In a large-scale and distributed visual information retrieval system, various multimedia databases are distributed throughout the Internet. Accessing multimedia databases distributed across remote sites has been made possible by the advent of the World Wide Web using the Internet as the medium. However, accessing such multimedia databases over the Web poses several challenges relating to the se...

1996
Vaishnavi Anjur Yannis E. Ioannidis Miron Livny

The problem of translating database objects into a flat format to be written out in a flat Ascii file or, conversely, translating the contents of a file into a complex database object arises in several applications. It is especially important in scientific database applications, where file-based communication with external programs (e.g., visualization packages or model simulations) is very com...

Journal: :Journal of neural engineering 2011
Eric A Pohlmeyer Jun Wang David C Jangraw Bin Lou Shih-Fu Chang Paul Sajda

We describe a closed-loop brain-computer interface that re-ranks an image database by iterating between user generated 'interest' scores and computer vision generated visual similarity measures. The interest scores are based on decoding the electroencephalographic (EEG) correlates of target detection, attentional shifts and self-monitoring processes, which result from the user paying attention ...

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