This paper presents a novel color quantization algorithm for compressed video data. The proposed algorithm extracts discrete cosine (DC) transform coefficients and motion vectors of blocks in a shot to estimate a cumulative color histogram of the shot and, based on the estimated histogram, design a color palette for displaying the video sequence in the shot. It significantly reduces the complex...

In this paper, a framework for automatic mixing of early jazz recordings is presented. In particular, we propose the use of sound source separation techniques as a preprocessing step of the mixing process. In addition to an initial solo and accompaniment separation step, the proposed mixing framework is composed of six processing blocks: harmonic-percussive separation (HPS), cross-adaptive mult...

This paper details experiments in which neural network controllers were evolved in simulation that allowed a simple panning camera head to track pat-terned objects moving against similarly patterned backgrounds in reality. It begins with a discussion of minimal simulations: fast-running, easy-to-build simulations for the evolution of real robot controllers (Jakobi, 1998a; Jakobi, 1998b). The mi...

Studio engineers use a variety of techniques to reduce frequency masking between instruments when mixing multitrack musical recordings. This study evaluates the efficacy of three techniques, namely mirrored equalization, frequency spectrum sharing and stereo panning, against their variations to confirm the veracity of accepted practice. Mirrored equalisation involves boosting one instrument and...

This paper presents changes to the Virtual Network Computing (VNC) model to improve performance on wall-sized, high-resolution tiled displays. VNC does not fully utilize data distributed to the tiles, noticeably reducing interactive performance when panning images and moving windows. By de-centralizing the VNC model, the VNC viewers can exchange pixels amongst each other, improving performance....

Indoor navigation of aerial vehicles poses several challenges in sustaining hover flights. The key challenges are the high presence of obstacles in constrained environments, frugal payload budget and the need for real-time control response. In this paper, we describe a successful application of computer vision and machine learning techniques for autonomous panning of RC helicopters in fixed ind...

The main advantages and drawbacks of Higher Order Ambisonics (HOA) versus Vector-Based Amplitude Panning (VBAP) for 3D audio sound reproduction are well documented. However, few studies focused on the effect of 3D audio reproduction artifacts and errors on the behaviour of hearing devices. This study compares the effect of HOA, VBAP, and Distance-Based Amplitude Panning (DBAP) sound reproductio...

The elicitation of broadly and efficiently neutralizing antibodies in humans by active immunization is still a major obstacle in the development of vaccines against pathogens such as the human immunodeficiency virus (HIV), influenza virus, hepatitis C virus or cytomegalovirus. Here, we describe a mammalian cell surface display and monoclonal antibody (mAb)-mediated panning technology that allow...

Most tools developed to visualize hierarchically clustered heatmaps generate static images. Clustergrammer is a web-based visualization tool with interactive features such as: zooming, panning, filtering, reordering, sharing, performing enrichment analysis, and providing dynamic gene annotations. Clustergrammer can be used to generate shareable interactive visualizations by uploading a data tab...

P Georgia Panagiotakos, PhD [3]studies how electrical activity and calcium signaling regulate the differentiation of neural progenitor cells into specific neuronal subtypes in the context of both normal brain development and neurodevelopmental disorders. Barbara Panning, PhD [4]studies how RNA containing complexes modulate chromatin structure and gene expression. Emmanuelle Passegué, PhD [5] st...