An Open Software Suite for Event-Based Video
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910311440711680 |
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| author | Freeman, Andrew C. |
| author_facet | Freeman, Andrew C. |
| contents | While traditional video representations are organized around discrete image frames, event-based video is a new paradigm that forgoes image frames altogether. Rather, pixel samples are temporally asynchronous and independent of one another. Until now, researchers have lacked a cohesive software framework for exploring the representation, compression, and applications of event-based video. I present the AD$Δ$ER software suite to fill this gap. This framework includes utilities for transcoding framed and multimodal event-based video sources to a common representation, rate control mechanisms, lossy compression, application support, and an interactive GUI for transcoding and playback. In this paper, I describe these various software components and their usage. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_17151 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Open Software Suite for Event-Based Video Freeman, Andrew C. Multimedia Computer Vision and Pattern Recognition While traditional video representations are organized around discrete image frames, event-based video is a new paradigm that forgoes image frames altogether. Rather, pixel samples are temporally asynchronous and independent of one another. Until now, researchers have lacked a cohesive software framework for exploring the representation, compression, and applications of event-based video. I present the AD$Δ$ER software suite to fill this gap. This framework includes utilities for transcoding framed and multimodal event-based video sources to a common representation, rate control mechanisms, lossy compression, application support, and an interactive GUI for transcoding and playback. In this paper, I describe these various software components and their usage. |
| title | An Open Software Suite for Event-Based Video |
| topic | Multimedia Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2401.17151 |