Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing

Jie Pan; Hongzhi Wang; Hong Gao; Wenxuan Zhao; Hongxing Huo; Huirong Dong

doi:10.1007/978-3-662-46248-5_54

Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing

Jie Pan
, Hongzhi Wang
, Hong Gao
, Wenxuan Zhao
, Hongxing Huo
, Huirong Dong

Faculty of Computing

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Nowadays, with the rapid development of network, more and more people are willing to share their attractive photos on the internet, especially the sightseeing spot photos. However, there are countless noteless but splendid scenic spots that remain unknown to most people, and it is a pity that one finds a wonderful place but cannot reach it. Therefore, it is meaningful and useful to build an image search website used specially for sightseeing spot images. Meanwhile, we have stepped into the new era of Big Data, the data we need to process is in an explosive growth, including the images. Thus we develop ParadisePointer, a scenery image search engine, which used the processing method on the background of Big Data. In this paper, we are going to introduce the main stages of our system and some key features of ParadisePointer.

Original language	English
Title of host publication	Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings
Editors	Hongzhi Wang, Wanxiang Che, Haoliang Qi, Leilei Kong, Zhongyuan Han, Zhaowen Qiu, Junyu Lin, Zeguang Lu
Publisher	Springer Verlag
Pages	448-452
Number of pages	5
ISBN (Print)	9783662462478
DOIs	https://doi.org/10.1007/978-3-662-46248-5_54
State	Published - 2015
Event	International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015 - Harbin, China Duration: 10 Jan 2015 → 12 Jan 2015

Publication series

Name	Communications in Computer and Information Science
Volume	503
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015
Country/Territory	China
City	Harbin
Period	10/01/15 → 12/01/15

Access to Document

10.1007/978-3-662-46248-5_54

Cite this

Pan, J., Wang, H., Gao, H., Zhao, W., Huo, H., & Dong, H. (2015). Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing. In H. Wang, W. Che, H. Qi, L. Kong, Z. Han, Z. Qiu, J. Lin, & Z. Lu (Eds.), Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings (pp. 448-452). (Communications in Computer and Information Science; Vol. 503). Springer Verlag. https://doi.org/10.1007/978-3-662-46248-5_54

Pan, Jie ; Wang, Hongzhi ; Gao, Hong et al. / Paradise Pointer : A sightseeing scenes images search engine based on Big Data processing. Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. editor / Hongzhi Wang ; Wanxiang Che ; Haoliang Qi ; Leilei Kong ; Zhongyuan Han ; Zhaowen Qiu ; Junyu Lin ; Zeguang Lu. Springer Verlag, 2015. pp. 448-452 (Communications in Computer and Information Science).

@inproceedings{b4dd384bd35f4205a47c0e5f82952489,

title = "Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing",

abstract = "Nowadays, with the rapid development of network, more and more people are willing to share their attractive photos on the internet, especially the sightseeing spot photos. However, there are countless noteless but splendid scenic spots that remain unknown to most people, and it is a pity that one finds a wonderful place but cannot reach it. Therefore, it is meaningful and useful to build an image search website used specially for sightseeing spot images. Meanwhile, we have stepped into the new era of Big Data, the data we need to process is in an explosive growth, including the images. Thus we develop ParadisePointer, a scenery image search engine, which used the processing method on the background of Big Data. In this paper, we are going to introduce the main stages of our system and some key features of ParadisePointer.",

author = "Jie Pan and Hongzhi Wang and Hong Gao and Wenxuan Zhao and Hongxing Huo and Huirong Dong",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015 ; Conference date: 10-01-2015 Through 12-01-2015",

year = "2015",

doi = "10.1007/978-3-662-46248-5\_54",

language = "英语",

isbn = "9783662462478",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "448--452",

editor = "Hongzhi Wang and Wanxiang Che and Haoliang Qi and Leilei Kong and Zhongyuan Han and Zhaowen Qiu and Junyu Lin and Zeguang Lu",

booktitle = "Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings",

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}

Pan, J, Wang, H, Gao, H, Zhao, W, Huo, H & Dong, H 2015, Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing. in H Wang, W Che, H Qi, L Kong, Z Han, Z Qiu, J Lin & Z Lu (eds), Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. Communications in Computer and Information Science, vol. 503, Springer Verlag, pp. 448-452, International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Harbin, China, 10/01/15. https://doi.org/10.1007/978-3-662-46248-5_54

Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing. / Pan, Jie; Wang, Hongzhi; Gao, Hong et al.
Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. ed. / Hongzhi Wang; Wanxiang Che; Haoliang Qi; Leilei Kong; Zhongyuan Han; Zhaowen Qiu; Junyu Lin; Zeguang Lu. Springer Verlag, 2015. p. 448-452 (Communications in Computer and Information Science; Vol. 503).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Paradise Pointer

T2 - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

AU - Pan, Jie

AU - Wang, Hongzhi

AU - Gao, Hong

AU - Zhao, Wenxuan

AU - Huo, Hongxing

AU - Dong, Huirong

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - Nowadays, with the rapid development of network, more and more people are willing to share their attractive photos on the internet, especially the sightseeing spot photos. However, there are countless noteless but splendid scenic spots that remain unknown to most people, and it is a pity that one finds a wonderful place but cannot reach it. Therefore, it is meaningful and useful to build an image search website used specially for sightseeing spot images. Meanwhile, we have stepped into the new era of Big Data, the data we need to process is in an explosive growth, including the images. Thus we develop ParadisePointer, a scenery image search engine, which used the processing method on the background of Big Data. In this paper, we are going to introduce the main stages of our system and some key features of ParadisePointer.

AB - Nowadays, with the rapid development of network, more and more people are willing to share their attractive photos on the internet, especially the sightseeing spot photos. However, there are countless noteless but splendid scenic spots that remain unknown to most people, and it is a pity that one finds a wonderful place but cannot reach it. Therefore, it is meaningful and useful to build an image search website used specially for sightseeing spot images. Meanwhile, we have stepped into the new era of Big Data, the data we need to process is in an explosive growth, including the images. Thus we develop ParadisePointer, a scenery image search engine, which used the processing method on the background of Big Data. In this paper, we are going to introduce the main stages of our system and some key features of ParadisePointer.

UR - https://www.scopus.com/pages/publications/84943232594

U2 - 10.1007/978-3-662-46248-5_54

DO - 10.1007/978-3-662-46248-5_54

M3 - 会议稿件

AN - SCOPUS:84943232594

SN - 9783662462478

T3 - Communications in Computer and Information Science

SP - 448

EP - 452

BT - Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings

A2 - Wang, Hongzhi

A2 - Che, Wanxiang

A2 - Qi, Haoliang

A2 - Kong, Leilei

A2 - Han, Zhongyuan

A2 - Qiu, Zhaowen

A2 - Lin, Junyu

A2 - Lu, Zeguang

PB - Springer Verlag

Y2 - 10 January 2015 through 12 January 2015

ER -

Pan J, Wang H, Gao H, Zhao W, Huo H, Dong H. Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing. In Wang H, Che W, Qi H, Kong L, Han Z, Qiu Z, Lin J, Lu Z, editors, Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. Springer Verlag. 2015. p. 448-452. (Communications in Computer and Information Science). doi: 10.1007/978-3-662-46248-5_54

Paradise Pointer: A sightseeing scenes images search engine based on Big Data processing

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