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| Content Provider | ACM Digital Library |
|---|---|
| Author | Seok, Kwang-Ho Ko, Junho Jang, Seong-Wook Lee, Hun Joo Kim, Yoon Sang Seo, Sang Hyun |
| Abstract | In this paper, we offer an efficient real-time video abstraction technique that enables interaction with the real-world environment using a smart device for combining augmented reality (AR) and virtual content. The conventional video abstraction technique is inappropriate for the real-time processing of AR content. Therefore, real-time video abstraction through the GPU approach is necessary to minimize the CPU processing of AR content. The methods other than the abstraction technique using the Open GL-ES shader have constraints regarding hardware and the dependency of AR content data. Consequently, this paper proposes a real-time video abstraction technique using the Open GL-ES shader. The proposed real-time video abstraction technique is a method for minimizing the disharmony between virtual and real-world content occurring on AR performing in the limited computing resources of a smart device. To do this, we performed research on video abstraction and applied three filtering algorithms (Sobel operator, Striped pattern-based toon, Non-boundary-based color quantization). In addition, we considered the applicability of AR content through real-time video abstraction experiments using adjusted and monitoring parameters. |
| Starting Page | 421 |
| Ending Page | 425 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450348171 |
| DOI | 10.1145/3055635.3056623 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-02-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Image processing on android platform Real-time video abstraction Augmented reality |
| Content Type | Text |
| Resource Type | Article |
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