Q. Iqbal and J. Aggarwal. Retrieval by classification of images containing large manmade objects using perceptual grouping. Pattern Recognition, 35:1463--1479, 2001. Home/Search Document Details and Download
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Feature Integration, Multi-image Queries and Relevance.. - Iqbal, Aggarwal (2003) Self-citation (Iqbal Aggarwal) (Correct)
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Q. Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition, vol. 35, pp. 1463--1479, July 2002.
Cires: A System For Content-Based Retrieval In Digital Image.. - Iqbal, Aggarwal (2002) (1 citation) Self-citation (Iqbal Aggarwal) (Correct)
....as edges, into a meaningful higher level interpretation. This interpretation helps in extracting image structure. A key feature of our approach is that segmentation and detailed object representation are not required. We extract the following features hierarchically using the approach detailed in [7, 8]: line segments, longer linear lines, retained lines, coterminations, L junctions, U junctions, parallel lines, parallel groups, significant parallel groups and polygons. Figure 1 displays these structures. Perceptual grouping rules of similarity, continuity, parallelism and closure are used ....
.... significant parallel groups and polygons. Figure 1 displays these structures. Perceptual grouping rules of similarity, continuity, parallelism and closure are used to extract these features. The presence of these distinguishing features in an image follows the principle of non accidentalness [7] and, there1 Seventh International Conference on Control, Automation, Robotics And Vision (ICARCV 02) Dec 2002, Singapore 205 l 1 l b l r dn (a) b) c) Invalid U junction Valid U junction l 22 l 21 l 11 l ur (d) e) Local orientation Intrinsic orientation Intrinsic ....
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Q. Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition, vol. 35, pp. 1463--1479, July 2002.
Combining Structure, Color And Texture For Image Retrieval: A .. - Iqbal, Aggarwal (2002) (1 citation) Self-citation (Iqbal Aggarwal) (Correct)
....normalization of the distances in the product space of structure, color and texture. Section 6 presents the results obtained, and finally, section 7 provides the conclusions. 2 STRUCTURE VIA PERCEPTUAL GROUPING We extract the following features hierarchically using the approach detailed in [5, 6]: line segments, longer linear lines, retained lines, coterminations, L junctions, U junctions, parallel lines, parallel groups, significant parallel groups and polygons. Perceptual grouping rules of similarity, continuity, parallelism and closure are used to extract these features. The ....
....parallel lines, parallel groups, significant parallel groups and polygons. Perceptual grouping rules of similarity, continuity, parallelism and closure are used to extract these features. The presence of these distinguishing features in an image follows the principle of nonaccidentalness [5] and, therefore, are more likely to be generated by manmade objects. We do not put any constraints, such as viewing angle and depth, on our system. A 3 dimensional feature vector is extracted from these features that represents the normalized number of lines in the L junctions, U junctions, ....
Q. Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition, vol. 35, pp. 1463--1479, July 2002.
Image Retrieval via Isotropic and Anisotropic Mappings - Iqbal, Aggarwal (2001) Self-citation (Iqbal Aggarwal) (Correct)
....meaningful higher level structure. It stresses the uniformity of psychological grouping for perception and recognition, as opposed to recognition by analysis of discrete primitive image features, and embodies such concepts as grouping by proximity, similarity, continuation, closure, and symmetry [8]. 4 Manmade objects have sharp edges and straight boundaries. The presence of a manmade object in an image generates a large number of significant edges, junctions, parallel lines and groups, and closed structures, in comparison with an image with predominantly non manmade (non structural) ....
....doors and boundaries of objects such as buildings, towers, bridges and other architectural objects. They exhibit regularity and relationship, and are strong evidence that structure is present in an image. The presence of these distinguishing features follows the principle of non accidentalness [8]; therefore, these features are more likely to be generated by manmade objects. Hence, these discriminating features distinguish between an image containing manmade objects and an image containing none. In our approach, segmentation and detailed object representation are not required. We extract ....
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Qasim Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition, to appear.
Multi-label Semantic Scene Classification - Matthew Boutell Xipeng (2003) (2 citations) (Correct)
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Q. Iqbal and J. Aggarwal. Retrieval by classification of images containing large manmade objects using perceptual grouping. Pattern Recognition, 35:1463--1479, 2001.
Multi-Label Machine Learning and Its Application to.. - Shen, Boutell, Luo.. (2004) (1 citation) (Correct)
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Q. Iqbal and J. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition 35, pp. 1463--1479, 2001.
Automatic Linguistic Indexing of Pictures by a Statistical.. - Li, Wang (2003) (11 citations) (Correct)
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Q. Iqbal and J.K. Aggarwal, "Retrieval by Classification of Images Containing Large Manmade Objects Using Perceptual Grouping," Pattern Recognition J., vol. 35, no. 7, pp. 1463-1479, 2002.
Automatic Linguistic Indexing of Pictures by a Statistical.. - Li, Wang (2003) (11 citations) (Correct)
No context found.
Q. Iqbal and J.K. Aggarwal, "Retrieval by Classification of Images Containing Large Manmade Objects Using Perceptual Grouping," Pattern Recognition J., vol. 35, no. 7, pp. 1463-1479, 2002.
Multi-label Semantic Scene Classification - Matthew Boutell Xipeng (2003) (2 citations) (Correct)
No context found.
Q. Iqbal and J. Aggarwal. Retrieval by classification of images containing large manmade objects using perceptual grouping. Pattern Recognition, 35:1463--1479, 2001.
Studying Digital Imagery of Ancient Paintings by Mixtures of.. - Li, Wang (2004) (Correct)
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Q. Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognit. J., vol. 35, no. 7, pp. 1463--1479, 2002.
Studying Digital Imagery of Ancient Paintings by Mixtures of.. - Li, Wang (2003) (Correct)
No context found.
Q. Iqbal and J. K. Aggarwal, "Retrieval by classification of images containing large manmade objects using perceptual grouping," Pattern Recognition Journal, vol. 35, no. 7. pp. 1463-1479, 2002.
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