ACM 国际多媒体大会(英文名称:ACM Multimedia,简称:ACM MM)是多媒体领域的顶级国际会议,每年举办一次。

VIP内容

【导读】CCF A类会议多媒体 ACM Multimedia 2020接收论文列表,刚刚已公布,你的文章中了吗?

据官方博,ACM Multimedia 2020官方今日发布接收论文,共有1698篇论文投稿,共有472篇接受,接受率27.8%。

ACM Multimedia 2020原定于2020年10月12-16日在美国西雅图举行。因为疫情原因将在在线虚拟进行。

自1993年召开第一届学术大会以来,每年的ACM Multimedia(简称ACM MM)是国际多媒体领域学术和产业界交流的最顶级盛会,也是中国计算机学会推荐的多媒体领域唯一的A类国际学术会议。热门方向有大规模跨媒体分析、理解与搜索、多模态人机交互、多媒体系统与推荐、计算视觉、计算图像、多媒体艺术、社会媒体研究等。ACM Multimedia每年在欧洲、美洲和亚太地区轮流举办,如今每年参会者近千人。按照惯例,该会议的主办权提前三年确定,以便有充裕的时间筹办。

接受论文id列表: http://2020.acmmm.org/accepted-paper-id-list.txt

成为VIP会员查看完整内容
0
23

最新内容

This paper introduces a new set of video analytics plugins developed for the FFmpeg framework. Multimedia applications that increasingly utilize the FFmpeg media features for its comprehensive media encoding, decoding, muxing, and demuxing capabilities can now additionally analyze the video content based on AI models. The plugins are thread optimized for best performance overcoming certain FFmpeg threading limitations. The plugins utilize the Intel OpenVINO Toolkit inference engine as the backend. The analytics workloads are accelerated on different platforms such as CPU, GPU, FPGA or specialized analytics accelerators. With our reference implementation, the feature of OpenVINO as inference backend has been pushed into FFmpeg mainstream repository. We plan to submit more patches later.

0
0
下载
预览

最新论文

This paper introduces a new set of video analytics plugins developed for the FFmpeg framework. Multimedia applications that increasingly utilize the FFmpeg media features for its comprehensive media encoding, decoding, muxing, and demuxing capabilities can now additionally analyze the video content based on AI models. The plugins are thread optimized for best performance overcoming certain FFmpeg threading limitations. The plugins utilize the Intel OpenVINO Toolkit inference engine as the backend. The analytics workloads are accelerated on different platforms such as CPU, GPU, FPGA or specialized analytics accelerators. With our reference implementation, the feature of OpenVINO as inference backend has been pushed into FFmpeg mainstream repository. We plan to submit more patches later.

0
0
下载
预览
Top