R Datta, D Joshi, J Li, JZ Wang - 2008 - portal.acm.org
We have witnessed great interest and a wealth of promise in content-based image retrieval as
an emerging technology. While the last decade laid foundation to such promise, it also paved
the way for a large number of new techniques and systems, got many new people ...
Cited by 342 - Related articles - BL Direct - All 22 versions
MS Lew, N Sebe, C Djeraba, R Jain - ACM Transactions on …, 2006 - portal.acm.org
1. INTRODUCTION Multimedia information retrieval (MIR) is about the search for knowledge
in all its forms, everywhere. Indeed, what good is all the knowledge in the world if it is not possible
to find anything? This sentiment is mirrored as an ACM SIGMM grand challenge [Rowe ...
Cited by 306 - Related articles - All 13 versions
R Datta, J Li, JZ Wang - Proceedings of the 7th ACM SIGMM …, 2005 - portal.acm.org
The last decade has witnessed great interest in research on content-based image retrieval. This
has paved the way for a large number of new techniques and systems, and a growing interest
in associated fields to support such systems. Likewise, digital imagery has expanded its ...
Cited by 153 - Related articles - All 14 versions
N Sebe, Q Tian, E Loupias, MS Lew, TS … - Image and Vision …, 2003 - Elsevier
In image retrieval, global features related to color or texture are commonly used to describe the
image content. The problem with this approach is that these global features cannot capture all
parts of the image having different characteristics. Therefore, local computation of image ...
Cited by 66 - Related articles - BL Direct - All 21 versions
N Sebe, MS Lew - Pattern recognition letters, 2003 - Elsevier
The use of salient points in content-based retrieval allows an image index to represent local
properties of the image. Classic corner detectors can also be used for this purpose but they have
drawbacks when are applied to various natural images mainly because visual features do ...
Cited by 59 - Related articles - All 22 versions
A Koschan, S Kang, J Paik, B Abidi, M Abidi - Pattern Recognition Letters, 2003 - Elsevier
The problem of tracking people and recognizing their actions in video sequences is of increasing
importance to many applications (Haritaoglu et al., 2000; McKenna et al., 1999; Plänkers and
Fua, 2001). Examples include video surveillance, human computer interaction, and ...
Cited by 50 - Related articles - All 17 versions
G Heidemann - IEEE transactions on pattern analysis …, 2004 - doi.ieeecomputersociety.org
Abstract—In this paper, a continuous valued measure for local color symmetry is introduced.
The new algorithm is an extension of the successful gray value-based symmetry map proposed
by Reisfeld et al. The use of color facilitates the detection of focus points (FPs) on objects ...
Cited by 36 - Related articles - BL Direct - All 8 versions
T Wang, Y Rui, JG Sun - International Journal of Computer Vision, 2004 - Springer
Page 1. International Journal of Computer Vision 56(1/2), 37–45, 2004 c© 2004 Kluwer
Academic Publishers. Manufactured in The Netherlands. Constraint Based Region
Matching for Image Retrieval TAO WANG ∗ Department ...
Cited by 27 - Related articles - BL Direct - All 7 versions
R Rahmani, SA Goldman, H Zhang, J … - Proceedings of the 7th …, 2005 - portal.acm.org
ABSTRACT Classic Content-Based Image Retrieval (CBIR) takes a sin- gle non-annotated query
image, and retrieves similar images from an image repository. Such a search must rely upon
a holistic (or global) view of the image. Yet often the desired content of an image is not ...
Cited by 23 - Related articles - All 16 versions
A Diplaros, T Gevers, I Patras - IEEE Transactions on Image Processing, 2006 - Citeseer
In this paper, we propose a new scheme that merges color and shape invariant information for
object recognition. To obtain robustness against photometric changes, color invariant derivatives
are computed first. Color invariance is an important aspect of any object recognition ...
Cited by 19 - Related articles - View as HTML - BL Direct - All 16 versions
XS Zhou, Y Rui, TS Huang - 2003 - books.google.com
Distributors for North, Central and South America: Kluwer Academic Publishers 101 Philip Drive
Assinippi Park Norwell, Massachusetts 02061 USA Telephone (781)871-6600 Fax
(781)681-9045 E-Mail: email@example.com Distributors for all other countries: Kluwer ...
Cited by 16 - Related articles - All 2 versions
A Koschan, SK Kang, JK Paik, BR Abidi, MA … - Proc. 1st Europ. Conf. on …, 2002 - Citeseer
Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa
sing importance to many applications. For the tracking of such objects in a video sequence eg
"active shape models" can be applied. The existing active shape models are usually ...
Cited by 21 - Related articles - View as HTML - All 14 versions
H Zhang, R Rahmani, SR Cholleti, SA … - Proceedings of the 14th …, 2006 - portal.acm.org
ABSTRACT Salient points are locations in an image where there is a significant variation with
respect to a chosen image feature. Since the set of salient points in an image capture impor-
tant local characteristics of that image, they can form the basis of a good image ...
Cited by 16 - Related articles - All 7 versions
G Heidemann - Computer Vision and Image Understanding, 2004 - Elsevier
Colour is one of the most important features in content based image retrieval. However, colour
is rarely used as a feature that codes local spatial information, except for colour texture. This
paper presents an approach to represent spatial colour distributions using local principal ...
Cited by 14 - Related articles - All 6 versions
G Heidemann - Image and Vision Computing, 2005 - Elsevier
Large image collections require efficient organization and visualization. This paper describes
an approach to establish image categories automatically by unsupervised learning. The method
works free of context and previous knowledge: in a first stage, features are formed ...
Cited by 13 - Related articles - All 3 versions
RS Choraś, T Andrysiak, M Choraś - Pattern Analysis & Applications, 2007 - Springer
Abstract Feature extraction and the use of the features as query terms are crucial problems in
content-based image retrieval (CBIR) systems. The main focus in this paper is on integrated
color, texture and shape extraction methods for CBIR. We have developed original CBIR ...
Cited by 9 - Related articles - BL Direct - All 2 versions
N Moenne-Loccoz, E Bruno, S Marchand- … - Lecture notes in computer …, 2004 - Springer
Abstract. In this paper, we present a generic and robust representation of video shots content
expressed in terms of salient regions of activity. The proposed approach is based on salient points
of the image space, thus minimizing the computational effort. Salient points are extracted ...
Cited by 7 - Related articles - BL Direct - All 8 versions
P Janney, G Sridhar, V Sridhar - Proceedings of World Enformatika …, 2005 - Citeseer
I. I NTRODUCTION DVENT of internet has created a information super high way through which
a vast amount of data is available to the end user. Exponential development in the field of image
acquisition (eg digital cameras, etc) has made way for creation of digital libraries and ...
Cited by 7 - Related articles - View as HTML - All 3 versions
F Wang, M Kan - Lecture Notes in Computer Science, 2006 - Springer
Abstract. We introduce NPIC, an image classification system that focuses on synthetic (eg,
non-photographic) images. We use class-specific keywords in an image search engine to create
a noisily labeled training corpus of images for each class. NPIC then extracts both content- ...
Cited by 5 - Related articles - BL Direct - All 8 versions
A Diplaros, T Gevers, I Patras - IEEE Workshop on Color and Photometric …, 2003 - Citeseer
A BSTRACT We propose a new image feature that merges color and shape information. This
global feature, which we call color shape context, is a histogram that combines the spatial
(shape) and color information of the image in one compact represen- tation. This ...
Cited by 5 - Related articles - View as HTML - All 11 versions
Go to Google Home - About Google - About Google Scholar