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[PDF] Top 20 6. Matching and Learning for Image Retrieval

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6. Matching and Learning for Image Retrieval

6. Matching and Learning for Image Retrieval

... 6. Matching and Learning for Image Retrieval As mentioned in the previous chapter, two approaches could be potential to solve the problem of semantic gap in image ... See full document

10

A Learning State Space Model for Image Retrieval

A Learning State Space Model for Image Retrieval

... model for learning the user concepts in image ...region-based image representation based on concept units, which are integrated with different types of feature spaces and with different ... See full document

12

Semantic Manifold Learning for Image Retrieval

Semantic Manifold Learning for Image Retrieval

... well for category 20 owing to the consistency in the backgrounds, though the underlying semantic concept is difficult to be ...performance for category 6 in that the locally distinc- tive and ... See full document

10

Photo Editors' Search Tactics and Moves for Image Retrieval

Photo Editors' Search Tactics and Moves for Image Retrieval

... one image search for each of the given ...first; and group three performed the subjective search ...the learning and fatigue effects of using the photo ... See full document

14

A context-based approach for color image retrieval

A context-based approach for color image retrieval

... an image contains various colors, such as stain-glass images, 64 colors are not enough to represent the color ...Maron and Ratan 8 also proposed a kind of feature, called instance, to consider the local ... See full document

18

Image Semantics Discovery from Web Pages for Semantic-Based Image Retrieval Using Self-Organizing Maps

Image Semantics Discovery from Web Pages for Semantic-Based Image Retrieval Using Self-Organizing Maps

... Discovering image semantics by text mining ...images and EKs into clusters by their co-occurrence simi- ...vised learning algorithm of SOM networks (Kohonen, 1997) matches our ...(or learning) ... See full document

14

Extracting color features and dynamic matching for image data-base retrieval

Extracting color features and dynamic matching for image data-base retrieval

... Features and Dynamic Matching for Image Data-Base Retrieval Soo-Chang Pei, Senior Member, IEEE , and Ching-Min Cheng Abstract—Color-based indexing is an important tool in ... See full document

12

Image Retrieval Using Efficient Region-based Matching

Image Retrieval Using Efficient Region-based Matching

... complex and computation intensive and the retrieval results are often not ...slow for a large ...the image into four non-overlapping regions and one central region with the same ... See full document

9

Similarity retrieval by 2D C-trees matching in image databases

Similarity retrieval by 2D C-trees matching in image databases

... The image retrieval based on spatial content is an attracting task in many image database ...tial-location and spatial-relation [18] may be synthesized vide a natural way of constructing ... See full document

14

Illumination invariant color model for image matching and object recognition

Illumination invariant color model for image matching and object recognition

... Conference code:76231 Publisher:Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:In this paper we present a new illumination invariant ... See full document

2

Texture features for dct-coded image retrieval and classification

Texture features for dct-coded image retrieval and classification

... VXEEDQGV 6   6   6   DQG 6  WR JHQHUDWH WKH IHDWXUH YHFWRUV ZLWK OHQJWK  ×  /LNHZLVH WKH 2:7 DQG 05'&7 JHQHUDWHG WKH  ... See full document

4

Building Semantic Indexing for Image Retrieval Systems

Building Semantic Indexing for Image Retrieval Systems

... semantic image indexing and retrieval system that mainly uses keywords to interchange information and aspects between users and ...each image automatically or ...biased ... See full document

6

From Text to Image: Generating Visual Query for Image Retrieval

From Text to Image: Generating Visual Query for Image Retrieval

... of image segmentation is not good enough. The objects in an image can’t be segmented ...Andrews image collection are in black and white, this makes image segmentation more ...If ... See full document

8

An image matching algorithm for variable mesh surfaces

An image matching algorithm for variable mesh surfaces

... model and calibration procedure based on the concept of linear relation- ship that were proposed by Tsai and Fan [17] is adopted for establishing the relationship between the 3D space coordinates ... See full document

9

SPLINE WAVELETS BASED TEXTURE FEATURES FOR IMAGE RETRIEVAL

SPLINE WAVELETS BASED TEXTURE FEATURES FOR IMAGE RETRIEVAL

... important for accurate image retrieval with less computational ...mean and standard deviation of the magnitudes of the subband coefficients in the wavelet frame decomposition, are proposed ... See full document

1

Image retrieval on uncompressed and compressed domains

Image retrieval on uncompressed and compressed domains

... Internet and multimedia system, digital images have been enormously used in many applications ...the image we want from a large image database correctly plays a more important ...methods for ... See full document

4

A Zernike Moment Phase-Based Descriptor for Local Image Representation and Matching

A Zernike Moment Phase-Based Descriptor for Local Image Representation and Matching

... photometric and geo- metric transformations. A method for an accurate and robust estimation of the rotation angle between two matching regions, implemented in the continuous angle domain ... See full document

15

Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval

Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval

... annotation and retrieval ...segments, and then extract audio features with respect to vari- ous musical information, including dynamics, rhythm, timbre, pitch, and tonality, from each ...mean ... See full document

12

Hierarchical color image region segmentation for content-based image retrieval system

Hierarchical color image region segmentation for content-based image retrieval system

... an image with a suitable tree-matching method that uses the relationships and the features of the regions to build an efficient content-based image retrieval system for ... See full document

7

Progressive Image Segmentation  by Wavelet Transform for Content-Based Image Retrieval

Progressive Image Segmentation by Wavelet Transform for Content-Based Image Retrieval

... Thus, these signal removing can facilitate the grouping about clusters. Applying the above processing to LH, HL and HH subbands in each level of the wavelet transform domain, recursively, the criteria will be ... See full document

8

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