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01 Dec 2017TL;DR: A Scale Invariant Feature Transformation method (SIFT) and Speeded-Up Robust Features (SURF) method is used with Bag of Words (BOW) model called as SIFT, SURF, Bag of Visual Words SSBOVW to construct and develop an innovative retrieval of the image under various aspects.
Abstract: The goal of this research is to construct and develop an innovative retrieval of the image under various aspects. One of the most attracted and drastically growing researches is relevant image retrieval for various emerging applications. Still Image retrieval is an effective research due to the necessity of image processing and image retrieval is applied in various emerging applications like satellite image processing, medical image processing and underwater acoustic image processing. Consequently, many approaches have been proposed by various earlier research works but the complete output is not yet been satisfied. In accordance to the literature survey it is come to know that BOW Bag-of-Visual-Words is one of the methods used in Image Retrieval. In this paper, a Scale Invariant Feature Transformation method (SIFT) and Speeded-Up Robust Features (SURF) method is used with Bag of Words (BOW) model called as SIFT, SURF, Bag of Visual Words SSBOVW. Both SIFT and SURF methods are used as local descriptor to deliver the signatures of the images which are invariant in scaling and rotation transformations. To increase the efficiency of the proposed approach the retrieved features are classified using MSVM (Multi Class Support Vector) to fetch the accurate image from the large database. The above discussed sequence of procedure is implemented and experimented in MATLAB software and the final out comes are verified.
6 citations
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TL;DR: In the title solvate, C47H37N3O3·C4H8O, the cyclohexane ring adopts a chair conformation and the plane through its near coplanar atoms forms dihedral angles of 82.58 (7)°, with the three pyridine rings and the two attached benzene rings.
Abstract: In the title solvate, C47H37N3O3·C4H8O, the cyclohexane ring adopts a chair conformation and the plane through its near coplanar atoms forms dihedral angles of 82.58 (7), 89.27 (7), 60.30 (8), 54.54 (7) and 72.03 (7)°, respectively, with the three pyridine rings and the two attached benzene rings. The rings of the biphenyl units are twisted from each other, making dihedral angles of 35.27 (7) and 45.41 (7)°. All the rings are in equatorial orientations in the cyclohexane ring, except for the C=O-bonded pyridine ring in position 1, which is axial. Intramolecular O—H⋯N and C—H⋯O hydrogen bonds form one S(5) and three S(6) ring motifs. In the crystal, molecules are linked via C—H⋯O hydrogen bonds into a chain along the c axis. The crystal structure also features weak C—H⋯π interactions and aromatic π–π stacking [centroid–centroid distances = 3.5856 (10) and 3.7090 (9) A].
6 citations
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09 May 2019-ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
TL;DR: A compact Depth Motion Map based representation methodology with hastey striding, consisely accumulating the motion information is proposed, and empirically prove the feasability of the method under standard protocols, achieving proven results.
Abstract: . Accumulating the motion information from a video sequence is one of the highly challenging and significant phase in Human Action Recognition. To achieve this, several classical and compact representations are proposed by the research community with proven applicability. In this paper, we propose a compact Depth Motion Map based representation methodology with hastey striding, consisely accumulating the motion information. We extract Undecimated Dual Tree Complex Wavelet Transform features from the proposed DMM, to form an efficient feature descriptor. We designate a Sequential Extreme Learning Machine for classifying the human action secquences on benchmark datasets, MSR Action 3D dataset and DHA Dataset. We empirically prove the feasability of our method under standard protocols, achieving proven results.
6 citations
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TL;DR: In this article, the authors examined stock market reaction to the earnings announcements by taking December 2001 quarter earnings announcement as an event, and found that the reaction to earnings announcements is delayed and the behavior of AARs and CAARs are examined for 30 days before and 31 days after the announcement of quarterly earnings.
Abstract: This paper examines stock market reaction to the earnings announcements by taking December 2001 quarter earnings announcement as an event. The study is based on 152 companies having minimum 20 percent foreign holdings. The companies are divided into, good news, bad news and overall portfolios. We have used event study methodology, t test, Runs test, sign test, raw returns and log returns. The behaviour of AARs and CAARs are examined for 30 days before and 31 days after the announcement of quarterly earnings. The results of the study revealed that stock market reaction to the earnings announcements is delayed.
6 citations
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TL;DR: The geometric parameters of the title compound, C8H6N2O·C6H3N3O7, are in the usual ranges and the three nitro groups are almost coplanar with the aromatic picrate ring.
Abstract: The geometric parameters of the title compound, C8H6N2O·C6H3N3O7, are in the usual ranges. The three nitro groups are almost coplanar with the aromatic picrate ring [dihedral angles 10.2 (2)°, 7.62 (16) and 8.08 (17)°]. The molecular conformation of the picric acid is stabilized by an intramolecular O—H⋯O hydrogen bond. The phthalazin-1(2H)-one molecules are connected via N—H⋯O hydrogen bonds, forming centrosymmetric dimers.
6 citations
Authors
Showing all 298 results
Name | H-index | Papers | Citations |
---|---|---|---|
Shafiqur Rehman | 46 | 212 | 9437 |
Asif Afzal | 23 | 156 | 1653 |
Balladka Kunhanna Sarojini | 22 | 291 | 2659 |
Mohammad Asif Hussain | 18 | 45 | 1665 |
Sher Afghan Khan | 18 | 248 | 1782 |
M.K. Ramis | 13 | 33 | 443 |
Perveiz Khalid | 13 | 63 | 492 |
M. Anaul Kabir | 12 | 20 | 477 |
Zahid Ansari | 10 | 33 | 404 |
P. R. Thyla | 10 | 44 | 293 |
Mohammad Fazle Azeem | 10 | 44 | 421 |
S. Pradeep | 9 | 19 | 893 |
D. Senthilkumar | 9 | 17 | 336 |
J. Mohan | 9 | 12 | 373 |
A. D. Mohammed Samee | 9 | 12 | 254 |