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The Latest News, Articles, and Events in Signal Processing

IEEE Transactions on Multimedia

Smoke detection plays an important role in industrial safety warning systems and fire prevention. Due to the complicated changes in the shape, texture, and color of smoke, identifying the smoke from a given image still remains a substantial challenge, and this has accordingly aroused a considerable amount of research attention recently.

IEEE Transactions on Multimedia

We propose an approach for digitally altering people's outfits in images. Given images of a person and a desired clothing style, our method generates a new clothing item image. The new item displays the color and pattern of the desired style while geometrically mimicking the person's original item. Through superimposition, the altered image is made to look as if the person is wearing the new item.

IEEE Transactions on Multimedia

In this paper, a Hessian matrix based multi-focus image fusion method is proposed. First, the integral map is introduced for fast compute the Hessian matrix of source images at different scales, and the multi-scale Hessian matrix of source image is obtained. Second, the multi-scale Hessian matrix is used to decompose each source image into two kinds of regions: the feature and background regions.

CSIRO

64888 - CSIRO Postdoctoral Fellowship in Machine Learning and Artificial Intelligence: Constraints. (2 Positions)

University of Oldenburg - Dept. of Medical Physics and Acoustics

The cluster of excellence Hearing4all (https://hearing4all.eu/EN/) at the Carl von Ossietzky Universität Oldenburg, Germany, is seeking to fill the position of a

Research Associate (m/f/d)

Weizmann Institute of Science

The department of mathematics and computer science at the Weizmann Institute invites students for a PhD position in the areas of signal processing and machine learning with applications in communications, radar, medical imaging and optical imaging. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab. In the area of medical imaging, the work will be performed in close collaboration with leading hospitals in Israel and abroad.

Weizmann Institute of Science

The department of mathematics and computer science at the Weizmann Institute invites researchers for a postdoctoral position in the area of signal processing and machine learning with applications in communications, radar, medical imaging and optical imaging. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab. In the area of medical imaging, the work will be performed in close collaboration with leading hospitals in Israel and abroad.

IEEE Transactions on Image Processing

Collective activity recognition, which tells what activity a group of people is performing, is a cutting-edge research topic in computer vision. Different from action performed by individuals, collective activity needs to consider the complex interactions among different people. However, most previous works require exhaustive annotations such as accurate label information of individual actions, pairwise interactions, and poses, which could not be easily available in practice. 

IEEE Transactions on Image Processing

The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality information but ignore the complementarity.

IEEE Transactions on Image Processing

The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality information but ignore the complementarity.

IEEE Transactions on Information Forensics and Security

Contactless fingerprint recognition is highly promising and an essential component in the automatic fingerprint identification system. However, due to the inherent characteristic of perspective distortions of contactless fingerprints, achieving a highly accurate contactless fingerprint recognition system is very challenging.

IEEE Transactions on Information Forensics and Security

A problem deeply investigated by multimedia forensics researchers is that of detecting which device has been used to capture a video. This enables us to trace down the owner of a video sequence, which proves extremely helpful to solve copyright infringement cases as well as to fight distribution of illicit material (e.g., child exploitation clips and terroristic threats).

IEEE Transactions on Information Forensics and Security

Compressed sensing (CS) has recently emerged as an effective and efficient way to encrypt data. Under certain conditions, it has been shown to provide some secrecy notions. In theory, it could be considered to be a perfect match for constrained devices needing to acquire and protect the data with computationally cheap operations.

IEEE Transactions on Computational Imaging

The challenges of real world applications of the laser detection and ranging (Lidar) three-dimensional (3-D) imaging require specialized algorithms. In this paper, a new reconstruction algorithm for single-photon 3-D Lidar images is presented that can deal with multiple tasks. 

IEEE Transactions on Computational Imaging

In this paper, we present a full view optical flow estimation method for plenoptic imaging. Our method employs the structure delivered by the four-dimensional light field over multiple views making use of superpixels. These superpixels are four dimensional in nature and can be used to represent the objects in the scene as a set of slanted-planes in three-dimensional space so as to recover a piecewise rigid depth estimate.

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.

IEEE/ACM Transactions on Audio, Speech, and Language Processing

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. 

IEEE/ACM Transactions on Audio, Speech, and Language Processing

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.

IEEE/ACM Transactions on Audio, Speech, and Language Processing

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.

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