Results 1 - 10
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560
Content-based image retrieval with relevance feedback
- in MARS. In Image Processing, 1997. Proceedings., International Conference on
, 1997
"... Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image ..."
Abstract
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Cited by 331 (33 self)
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retrieval model to text retrieval model, such that the well established textretrieval techniques can be utilized. Approaches of converting image feature vectors (IP domain) to weighted-term vectors (IR domain) are proposed in this paper. Furthermore, the relevance feedback technique fromthe
Lost in quantization: Improving particular object retrieval in large scale image databases
- In CVPR
, 2008
"... The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local regions of images are characterized using high-dimensional descriptors which are then mapped to “visual words ” selected ..."
Abstract
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Cited by 253 (8 self)
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The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local regions of images are characterized using high-dimensional descriptors which are then mapped to “visual words ” selected
Large-scale image retrieval with compressed Fisher vectors
- IN: CVPR PERRONNIN F, SÁNCHEZ J, LIU Y (2010B) LARGE-SCALE
, 2010
"... The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel framework. We first show why the Fisher representation is well-suited to the retrieval problem: it describes an image by ..."
Abstract
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Cited by 100 (8 self)
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by what makes it different from other images. One drawback of the Fisher vector is that it is high-dimensional and, as opposed to the BOV, it is dense. The resulting memory and computational costs do not make Fisher vectors directly amenable to large-scale retrieval. Therefore, we compress Fisher vectors
Tools and Techniques for Color Image Retrieval
, 1996
"... The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search through large amounts of visual data. Towards this goal we propose a technique by which the color content of images and videos is automatically extracted to form a class of ..."
Abstract
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Cited by 207 (12 self)
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histogram techniques such as high-dimensional feature vectors, spatial localization, indexing and distance computation. We present the binary color set back-projection technique and discuss its implementation in the VisualSEEk content-based image/video retrieval system for the World Wide Web. We also
Combining attributes and Fisher vectors for efficient image retrieval
- Colorado Springs, United States
, 2011
"... Attributes were recently shown to give excellent results for category recognition. In this paper, we demonstrate their performance in the context of image retrieval. First, we show that retrieving images of particular objects based on attribute vectors gives results comparable to the state of the ar ..."
Abstract
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Cited by 43 (1 self)
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dataset show that our approach sig-nificantly outperforms the state of the art, even for a very compact representation of 16 bytes per image. Retrieving category images is evaluated on the “web-queries ” dataset. We show that attribute features combined with Fisher vec-tors improve the performance
Modeling spatial layout with Fisher vectors for image categorization
- IN: ICCV.
, 2011
"... We introduce an extension of bag-of-words image representations to encode spatial layout. Using the Fisher kernel framework we derive a representation that encodes the spatial mean and the variance of image regions associated with visual words. We extend this representation by using a Gaussian mixtu ..."
Abstract
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Cited by 33 (11 self)
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We introduce an extension of bag-of-words image representations to encode spatial layout. Using the Fisher kernel framework we derive a representation that encodes the spatial mean and the variance of image regions associated with visual words. We extend this representation by using a Gaussian
Constructing models for content-based image retrieval
- In Proc. CVPR
, 2001
"... This paper presents a new method for constructing models from a set of positive and negative sample images; the method requires no manual extraction of significant objects or features. Our model representation is based on two layers. The first one consists of “generic ” descriptors which represent s ..."
Abstract
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Cited by 133 (12 self)
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This paper presents a new method for constructing models from a set of positive and negative sample images; the method requires no manual extraction of significant objects or features. Our model representation is based on two layers. The first one consists of “generic ” descriptors which represent
Near Duplicate Image Detection: min-Hash and tf-idf Weighting
"... This paper proposes two novel image similarity measures for fast indexing via locality sensitive hashing. The similarity measures are applied and evaluated in the context of near duplicate image detection. The proposed method uses a visual vocabulary of vector quantized local feature descriptors (SI ..."
Abstract
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Cited by 130 (1 self)
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This paper proposes two novel image similarity measures for fast indexing via locality sensitive hashing. The similarity measures are applied and evaluated in the context of near duplicate image detection. The proposed method uses a visual vocabulary of vector quantized local feature descriptors
Generalized Gradient Vector Flow External Forces for Active Contours
- Signal Processing
, 1998
"... Active contours, or snakes, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. A new type of external force for active contours, called gradient vector flow (GVF) was introduced recently to address problems associated with initializat ..."
Abstract
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Cited by 148 (6 self)
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with initialization and poor convergence to boundary concavities. GVF is computed as a di#usion of the gradient vectors of a gray-level or binary edge map derived from the image. In this paper, we generalize the GVF formulation to include two spatially varying weighting functions. This improves active contour
Results 1 - 10
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560