DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Gyeong-Hoon | ko |
dc.contributor.author | Oh, Jin-Wook | ko |
dc.contributor.author | Lee, Seung-Jin | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2013-08-14T01:09:25Z | - |
dc.date.available | 2013-08-14T01:09:25Z | - |
dc.date.created | 2013-08-09 | - |
dc.date.created | 2013-08-09 | - |
dc.date.issued | 2013-07 | - |
dc.identifier.citation | IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.48, no.7, pp.1615 - 1624 | - |
dc.identifier.issn | 0018-9200 | - |
dc.identifier.uri | http://hdl.handle.net/10203/175028 | - |
dc.description.abstract | Approximate nearest neighbor (ANN) searching is an essential task in object recognition. The ANN-searching stage, however, is the main bottleneck in the object recognition process due to increasing database size and massive dimensions of key-point descriptors. In this paper, a high throughput ANN-searching processor is proposed for high-resolution (full-HD) and real-time (30 fps) video object recognition. The proposed ANN-searching processor adopts an interframe cache architecture as a hardware-oriented approach and a zeroless locality-sensitive-hashing (zeroless-LSH) algorithm as a software-oriented approach to reduce the external memory bandwidth required in nearest neighbor searching. A four-way set associative on-chip cache has a dedicated architecture to exploit data correlation at the frame-level. Zeroless-LSH minimizes data transactions from external memory at the vector-level. The proposed ANN-searching processor is fabricated as part of an object recognition SoC using a 0.13 mu m 6 metal CMOS technology. It achieves 62 720 vectors/s throughput and 1140 GOPS/W power efficiency, which are 1.45 and 1.37 times higher than the state-of-the-art, respectively, enabling real-time object recognition for full-HD 30 fps video streams. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | ENGINE | - |
dc.subject | IMAGE | - |
dc.title | An 86 mW 98GOPS ANN-Searching Processor for Full-HD 30 fps Video Object Recognition With Zeroless Locality-Sensitive Hashing | - |
dc.type | Article | - |
dc.identifier.wosid | 000320938600008 | - |
dc.identifier.scopusid | 2-s2.0-84879959739 | - |
dc.type.rims | ART | - |
dc.citation.volume | 48 | - |
dc.citation.issue | 7 | - |
dc.citation.beginningpage | 1615 | - |
dc.citation.endingpage | 1624 | - |
dc.citation.publicationname | IEEE JOURNAL OF SOLID-STATE CIRCUITS | - |
dc.identifier.doi | 10.1109/JSSC.2013.2253220 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.contributor.nonIdAuthor | Kim, Gyeong-Hoon | - |
dc.contributor.nonIdAuthor | Lee, Seung-Jin | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Approximate nearest neighbor (ANN) searching processor | - |
dc.subject.keywordAuthor | ANN searching | - |
dc.subject.keywordAuthor | interframe cache architecture | - |
dc.subject.keywordAuthor | locality-sensitive-hashing (LSH) | - |
dc.subject.keywordAuthor | zeroless-LSH | - |
dc.subject.keywordPlus | ENGINE | - |
dc.subject.keywordPlus | IMAGE | - |
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