Generating Correlations among Different Modalities by Using Parallel Processing For Cross-Media Retrieval

Authors(2) :-R. Rajasekhar, Rokkam Srikanth Reddy

Hashing strategies are very useful as they may be used for lots responsibilities including in search engines like Google and yahoo for cross media retrieval. Here hashing technique has been proposed to seize similarities among cross - media records such as textual, visible. As words of individual formations can also have proportional. Hence to clear up such troubles semantic hashing technique is used in this paper along with surf++ set of rules. The semantic level hashing is the gives best result on vector classification and word embedded. This paper propose a high-powered task formation for parallel object-oriented programming and represent the results from a source-to-source compiler and runtime system. With the insertion of one keyword, the serial code doesn't contain restructuring and asynchronous function management is executed on behalf of the programmer; the parallel code required realizing task parallelism looks significantly like the sequential counterpart. An instinctive result is provided to manage task dependencies as kindly as homogenize different task concepts into one model.

Authors and Affiliations

R. Rajasekhar
Department of Computer Science and Engineering, Jntua, Ananthapur, India
Rokkam Srikanth Reddy
Department of Computer Science and Engineering, Jntua, Ananthapur, India

Hashing, Cross-media, Semantic level hashing, Parallel processing, Vector classification.

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 869-874
Manuscript Number : CSEIT1724214
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

R. Rajasekhar, Rokkam Srikanth Reddy, "Generating Correlations among Different Modalities by Using Parallel Processing For Cross-Media Retrieval", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.869-874, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT1724214

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