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- Ivan V. Bajic, John W. Woods
- IEEE Trans. Image Processing
- 2002

In this paper, we present a method of creating domain-based multiple descriptions of images and video. These descriptions are created by partitioning the transform domain of the signal into sets whose points are maximally separated from each other. This property enables simple error concealment methods to produce good estimates of lost signal samples. We… (More)

- Seyed Hossein Khatoonabadi, Nuno Vasconcelos, Ivan V. Bajic, Yufeng Shan
- 2015 IEEE Conference on Computer Vision and…
- 2015

Visual saliency has been shown to depend on the unpredictability of the visual stimulus given its surround. Various previous works have advocated the equivalence between stimulus saliency and uncompressibility. We propose a direct measure of this quantity, namely the number of bits required by an optimal video compressor to encode a given video patch, and… (More)

A home-based intelligent energy conservation system needs to know what appliances (or loads) are being used in the home and when they are being used in order to provide intelligent feedback or to make intelligent decisions. This analysis task is known as load disaggregation or non-intrusive load monitoring (NILM). The datasets used for NILM research… (More)

- Yue-Meng Chen, Ivan V. Bajic
- IEEE Signal Processing Letters
- 2010

Global motion estimation (GME) from motion vector (MV) field in compressed domain greatly reduces the complexity of conventional pixel-based GME. However, outlier MVs, caused by noise or foreground objects, may reduce the accuracy of MV-based GME. In this paper, we propose a cascade-of-rejectors approach for removing MV outliers to achieve efficient and… (More)

- Hadi Hadizadeh, Mario J. Enriquez, Ivan V. Bajic
- IEEE Transactions on Image Processing
- 2012

This correspondence describes a publicly available database of eye-tracking data, collected on a set of standard video sequences that are frequently used in video compression, processing, and transmission simulations. A unique feature of this database is that it contains eye-tracking data for both the first and second viewings of the sequence. We have made… (More)

- Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
- IEEE Trans. Multimedia
- 2011

In this paper, we propose an unsupervised segmentation algorithm for extracting moving regions from compressed video using Global Motion Estimation (GME) and Markov Random Field (MRF) classification. First, motion vectors (MVs) are compensated from global motion and quantized into several representative classes, from which MRF priors are estimated. Then, a… (More)

- Ivan V. Bajic, John W. Woods
- IEEE Trans. Information Theory
- 2003

We study the problem of dividing the 2 lattice into partitions so that minimal intra-partition distance between the points is maximized. We show that this problem is analogous to the problem of sphere packing. An upper bound on the achievable intra-partition distances for a given number of partitions follows naturally from this observation, since the… (More)

- Yue-Meng Chen, Ivan V. Bajic
- IEEE Trans. Circuits Syst. Video Techn.
- 2011

- Hyomin Choi, Jonghun Yoo, Jung-Hak Nam, Dong-Gyu Sim, Ivan V. Bajic
- IEEE Journal of Selected Topics in Signal…
- 2013

In this paper, we present a pixel-wise unified rate quantization (R-Q) model for a low-complexity rate control on configurable coding units of high efficiency video coding (HEVC). In the case of HEVC, which employs hierarchical coding block structure, multiple R-Q models can be employed for the various block sizes. However, we found that the ratios of… (More)

- Ivan V. Bajic
- IEEE Transactions on Image Processing
- 2006

In this paper, we present an adaptive maximum a posteriori (MAP) error concealment algorithm for dispersively packetized wavelet-coded images. We model the subbands of a wavelet-coded image as Markov random fields, and use the edge characteristics in a particular subband, and regularity properties of subband/wavelet samples across scales, to adapt the… (More)