The paper presents an architecture for fast mode decision algorithm in H.264/AVC for 4x4 intra-prediction. This algorithm is based on the inherent symmetry existing in the spatial prediction modes. This algorithm gives a faster way of calculating sum of absolute differences (SADs) for all modes of intra prediction. So, a significant computational savings can be achieved. Synthesis results confi...

Matrix factorization methods are important tools in data mining and analysis. They can be used for many tasks, ranging from dimensionality reduction to visualization. In this paper we concentrate on the use of matrix factorizations for finding patterns from the data. Rather than using the standard algebra – and the summation of the rank-1 components to build the approximation of the original ma...

In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and our goal is to maintain this relationship during processing. In our past work, we considered algorithms that relied on the sum-of-absolute difference...

This paper defines the “Single Agent in a Team Decision” (SATD) problem. SATD differs from prior multi-agent communication problems in the assumptions it makes about teammates’ knowledge of each other’s plans and possible observations. The paper proposes a novel integrated logical-decisiontheoretic approach to solving SATD problems, called MDPPRT. Evaluation of MDP-PRT shows that it outperforms...

abstract: in this paper, a new population-based search called the bees algorithm (ba) is presented to estimate the time-dependent heat transfer coefficient and the corresponding heat flux at the boundaries of a two-dimensional body subjected to transient heat conduction, using the temperature measurements at discrete nodal locations on the boundaries, where heat flux is specified as the boundar...