Cited 1 time in
Sleep Mode Detection for Smart TV using Face and Motion Detection
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Suwon | - |
| dc.contributor.author | Seo, Yong-Ho | - |
| dc.date.accessioned | 2022-12-26T16:48:49Z | - |
| dc.date.available | 2022-12-26T16:48:49Z | - |
| dc.date.issued | 2018-07-31 | - |
| dc.identifier.issn | 1976-7277 | - |
| dc.identifier.issn | 1976-7277 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/11458 | - |
| dc.description.abstract | Sleep mode detection is a significant power management and green computing feature. However, it is difficult for televisions and smart TVs to detect deactivation events because we can use these devices without the assistance of an input device. In this paper, we propose a robust method for smart TVs to detect deactivation events based on a visual combination of face and motion detection. The results of experiments conducted indicate that the proposed method significantly reduces incorrect face detection and human absence by means of motion detection. The results also show that the proposed method is robust and effective for smart TVs to reduce power consumption. | - |
| dc.format.extent | 16 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | KSII-KOR SOC INTERNET INFORMATION | - |
| dc.title | Sleep Mode Detection for Smart TV using Face and Motion Detection | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.3837/tiis.2018.07.018 | - |
| dc.identifier.scopusid | 2-s2.0-85051328696 | - |
| dc.identifier.wosid | 000440368200018 | - |
| dc.identifier.bibliographicCitation | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.12, no.7, pp 3322 - 3337 | - |
| dc.citation.title | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 7 | - |
| dc.citation.startPage | 3322 | - |
| dc.citation.endPage | 3337 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002372392 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Telecommunications | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
| dc.relation.journalWebOfScienceCategory | Telecommunications | - |
| dc.subject.keywordPlus | RECOGNITION | - |
| dc.subject.keywordAuthor | Sleep mode detection | - |
| dc.subject.keywordAuthor | smart TV | - |
| dc.subject.keywordAuthor | face detection | - |
| dc.subject.keywordAuthor | motion detection | - |
| dc.subject.keywordAuthor | green computing | - |
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