Sharing computation resources in image and speech recognition for embedded systems

Seung Eun Lee

doi:10.1007/978-3-642-23324-1_25

Sharing computation resources in image and speech recognition for embedded systems

Seung Eun Lee

Electronic Engineering Program

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

1 Scopus citations

Abstract

An important class of features centered on recognition (i.e. the ability to reconize images, speech, gestures, etc) is rapidly becoming available on embedded systems. This requires high performance computing to support recognition with low-latency, low power and high throughput. In this paper, we investigate the image and speech recognition algorithms and find opportunity to share the computation resources, reducing the cost without losing any system performance.

Original language	English
Title of host publication	Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings
Pages	150-156
Number of pages	7
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-23324-1_25
State	Published - 2011
Event	International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011 - Wuhan, China Duration: 21 Aug 2011 → 22 Aug 2011

Publication series

Name	Communications in Computer and Information Science
Number	PART 2
Volume	215 CCIS
ISSN (Print)	1865-0929

Conference

Conference	International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011
Country/Territory	China
City	Wuhan
Period	21/08/11 → 22/08/11

Keywords

Design Optimization
Embedded System
Image Recognition
Mobile Augmented Reality
Speech Recognition

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10.1007/978-3-642-23324-1_25

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Lee, S. E. (2011). Sharing computation resources in image and speech recognition for embedded systems. In Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings (PART 2 ed., pp. 150-156). (Communications in Computer and Information Science; Vol. 215 CCIS, No. PART 2). https://doi.org/10.1007/978-3-642-23324-1_25

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title = "Sharing computation resources in image and speech recognition for embedded systems",

abstract = "An important class of features centered on recognition (i.e. the ability to reconize images, speech, gestures, etc) is rapidly becoming available on embedded systems. This requires high performance computing to support recognition with low-latency, low power and high throughput. In this paper, we investigate the image and speech recognition algorithms and find opportunity to share the computation resources, reducing the cost without losing any system performance.",

keywords = "Design Optimization, Embedded System, Image Recognition, Mobile Augmented Reality, Speech Recognition",

author = "Lee, \{Seung Eun\}",

year = "2011",

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language = "English",

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series = "Communications in Computer and Information Science",

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booktitle = "Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings",

edition = "PART 2",

note = "International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011 ; Conference date: 21-08-2011 Through 22-08-2011",

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Lee, SE 2011, Sharing computation resources in image and speech recognition for embedded systems. in Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings. PART 2 edn, Communications in Computer and Information Science, no. PART 2, vol. 215 CCIS, pp. 150-156, International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011, Wuhan, China, 21/08/11. https://doi.org/10.1007/978-3-642-23324-1_25

Sharing computation resources in image and speech recognition for embedded systems. / Lee, Seung Eun.
Advances in Computer Science, Environment, Ecoinformatics, and Education - International Conference, CSEE 2011, Proceedings. PART 2. ed. 2011. p. 150-156 (Communications in Computer and Information Science; Vol. 215 CCIS, No. PART 2).

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

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KW - Design Optimization

KW - Embedded System

KW - Image Recognition

KW - Mobile Augmented Reality

KW - Speech Recognition

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ER -

Sharing computation resources in image and speech recognition for embedded systems

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