this paper concerns the transmission of two independent gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous csis. the availability of the channel state information at receivers (csir) is considered in two scenarios of perfect and imperfect csir. in the imperfect csir case, we consider a more practical assumption of...

Region-of-Interest (ROI) techniques are often utilized in natural stillimage coding standards such as JPEG2000 [1]. In contrast, document image coding typically adopts multi-layer methods [2], using a carefully selected algorithm for each layer to optimize overall performance. In this paper, an ROI-based method is proposed for multi-component document image coding, where rectangular textual ROI...

In this paper, we derive an asymptotically optimal multi-layer coding scheme for entropy-coded scalar quantizers (SQ) that minimizes the weighted mean-squared error (WMSE). The optimal entropy-coded SQ is non-uniform in the case of WMSE. The conventional multi-layer coder quantizes the base-layer reconstruction error at the enhancement-layer, and is sub-optimal for the WMSE criterion. We consid...

Automatic annotation of images with descriptive words is a challenging problem with vast applications in the areas of image search and retrieval. This problem can be viewed as a label-assignment problem by a classifier dealing with a very large set of labels, i.e., the vocabulary set. We propose a novel annotation method that employs two layers of sparse coding and performs coarse-to-fine label...

Wireless Mesh Networks (WMNs) introduce a new paradigm ‎of wireless broadband Internet access by providing high data ‎rate service, scalability, and self-healing abilities at reduced ‎cost. ‎Obtaining high throughput for multi-cast applications (e.g. ‎video streaming broadcast) in WMNs is challenging due to the ‎interference and the change of channel quality. To overcome ‎this issue, cross-laye...

This paper makes a comparative study on the various spatial scalable coding frameworks. The frameworks with multiple image-domain motion aligned temporal filtering at various spatial resolutions, named as multi-T+2D, are mainly investigated. First we investigate a multi-T+2D scheme based on redundant frame representation. The cross spatial layer redundancy and prediction methods are discussed. ...

We present a multi-layer group sparse coding framework for concurrent image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes the mutual dependency between the class label, which describes the image content as a whole, and tags, which d...

The multi-layer group sparse coding framework is presented for the purpose of image classification and annotation. This paper introduces the multi-layer group sparse structure of the image reconstruction coefficients to leverage the needs between the class label and tags. The sparse structure translates the mutual dependency among the class label that defines the whole image content. The tags d...