Intelligence Cloud-Based Image Recognition Service

被引：0

作者：

Li, Wei-shuo ^{[1
]}

Kao, Jung-yang ^{[1
]}

机构：

[1] ITRI, Informat & Commun Res Labs, 195,Sec 4,Chung Hsing Rd, Hsinchu, Taiwan

来源：

QUALITY, RELIABILITY, SECURITY AND ROBUSTNESS IN HETEROGENEOUS NETWORKS | 2017年 / 199卷

关键词：

Cloud service; Image recognition; Feature descriptor;

D O I：

10.1007/978-3-319-60717-7_47

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cloud-based vision service provide a opportunity of intelligence and programming support to meet different needs of embedded applications. To reduce the complexity of cloud-based computation, we proposed a method can be by performing Hamming distance. This approach relates in general to a method for feature description, in which a feature patch is described by using a binary string. Our method can achieve near-optimal precision and reduce the bandwidth and computation time.

引用

页码：473 / 477

页数：5

共 7 条

[1]

[Anonymous], 1998, Random graphs

[2] SURF: Speeded up robust features [J].

Bay, Herbert ;

Tuytelaars, Tinne ;

Van Gool, Luc .

COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 :404-417

[3]

Bhat D., 1996, COMPUTER VISION PATT, V2

[4] Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility [J].

Buyya, Rajkumar ;

Yeo, Chee Shin ;

Venugopal, Srikumar ;

Broberg, James ;

Brandic, Ivona .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2009, 25 (06) :599-616

[5] Globus Online Accelerating and Democratizing Science through Cloud-Based Services [J].

Foster, Ian .

IEEE INTERNET COMPUTING, 2011, 15 (03) :70-73

[6] Distinctive image features from scale-invariant keypoints [J].

Lowe, DG .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) :91-110

[7]

Soyata T., 2012, IEEE S COMP COMM ISC

← 1 →