Deconstructing Image Semantics in Natural Language Representation

被引：0
|
作者：
Kuriakose, Bineeth [1 ]
Mathew, Joshin J. [2 ]
Balasubramaniam, Balaji [3 ]
Preena, K. P. [1 ]
机构：
[1] Model Engn Coll, Dept Comp Engn, Kochi, Kerala, India
[2] ARS Traff & Transport Technol, Trivandrum, Kerala, India
[3] TRDDC, TCS Innovat Labs, Pune, Maharashtra, India
来源：
2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2015年
关键词：
Image Representation; Primal Sketch Theory; Semantics; Natural Language;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Image - in today's digital world represented by numerical numbers. These numbers collectively present abstract concepts that is only understood by human perception. In this paper, we propose a novel framework that is more close to human perception of reality to translate the conventional representation of an image. Also, we focus on automating the image representation in terms of a natural language description both understandable by human and machine. The proposed framework can be extended to use a wide variety of real world applications in future.
引用
收藏
页码：1932 / 1938
页数：7
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