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New Opportunities to Learn and Network in Ottawa Canada this August. "Leading our Global Technical Community" is the theme of the 2020 IEEE Sections Congress, which is scheduled to take place from 21 to 23 August in Ottawa Canada. The congress, held every three years, is sponsored by the IEEE Member and Geographic Activities Board.
Each month, the Chapter Briefs Newsletter will feature an OU Analytics Tip that will be helpful to all who utilize the OU Analytics tool. This month's Tip provides detailed instructions on how to obtain member counts and member details for Society and Technical Council chapters. Please click on the applicable link below to access the instructions.
2020 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2017, 2018, or 2019 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
2020 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2017, 2018, or 2019 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
Recent years have witnessed the rapid development of virtual reality (VR). Above 90% of VR content is in the form of 360° video, also called omnidirectional video or panoramic video. Generally speaking, 360° video offers immersive and interactive viewing experience, as the viewers are able to freely move their heads in the range of 360° × 180° to access different viewports.
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The spherical viewing range of 360° video/image accounts for huge data, which pose the challenges to 360° video/image processing in solving the bottleneck of storage, transmission, etc. Accordingly, the recent years have witnessed the explosive emergence of works on 360° video/image processing.
Panoramic videos are becoming more and more easily obtained for common users. Although these videos have 360∘ field of view, they are usually displayed with perspective views, which needs the saliency informations for viewing angle selection. In this paper, we propose a saliency prediction network for 360∘ videos. Our network takes video frames and optical flows in cube map format as input, thus it does not suffer from image distorations of panoramic frames.
Panoramic videos are becoming more and more easily obtained for common users. Although these videos have 360∘ field of view, they are usually displayed with perspective views, which needs the saliency informations for viewing angle selection. In this paper, we propose a saliency prediction network for 360∘ videos. Our network takes video frames and optical flows in cube map format as input, thus it does not suffer from image distorations of panoramic frames.
This letter proposes a new time domain absorption approach designed to reduce masking components of speech signals under noisy-reverberant conditions. In this method, the non-stationarity of corrupted signal segments is used to detect masking distortions based on a defined threshold.