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Section: Publications & Resources
Publication: IEEE Journal of Selected Topics in Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Journal of Selected Topics in Signal 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.
Section: Publications & Resources
Publication: IEEE Journal of Selected Topics in Signal 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.
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
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.
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
This letter presents a high resolution method which separates close components of a multi-component linear frequency modulated (LFM) signal and eliminates their Cross-Terms (CTs). We first investigate the energy distribution of the Auto-Terms (ATs) and CTs in ambiguity plane.
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
This correspondence proposes the use of a real-only equalizer (ROE), which acts on real signals derived from the received offset quadrature amplitude modulation (OQAM) symbols. For the same fading channel, we prove that both ROE and the widely linear equalizer (WLE) yield equivalent outputs.
Section: Publications & Resources
Wireless acoustic sensor networks (WASNs) can be used for centralized multi-microphone noise reduction, where the processing is done in a fusion center (FC). To perform the noise reduction, the data needs to be transmitted to the FC. Considering the limited battery life of the devices in a WASN, the total data rate at which the FC can communicate with the different network devices should be constrained.
Section: Publications & Resources
Automatic evaluation of singing quality can be done with the help of a reference singing or the digital sheet music of the song. However, such a standard reference is not always available. In this article, we propose a framework to rank a large pool of singers according to their singing quality without any standard reference.
Section: Publications & Resources
Visual cues such as lip movements, when available, play an important role in speech communication. They are especially helpful for the hearing impaired population or in noisy environments. When not available, having a system to automatically generate talking faces in sync with input speech would enhance speech communication and enable many novel applications.
Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Binary tomography is concerned with the recovery of binary images from a few of their projections (i.e., sums of the pixel values along various directions). To reconstruct an image from noisy projection data, one can pose it as a constrained least-squares problem.
