Hewlett-Packard

About: Hewlett-Packard is a company organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 34663 authors who have published 59808 publications receiving 1467218 citations. The organization is also known as: Hewlett Packard & Hewlett-Packard Company.

Embedded metadata engines in digital capture devices

Abstract: A digital capture system, such as a digital still camera or digital video recorder, has an embedded real-time content-based analysis function in the capture device to extract metadata from the digital signals. In one embodiment, metadata (descriptive information about the digital content) is formatted and stored separately from the content. In another embodiment, the metadata may be formatted and combined with the digital content in a container format such as MPEG-7, QuickTime, or FlashPix.

Subword parallelism with MAX-2

Abstract: MAX-2 illustrates how a small set of instruction extensions can provide subword parallelism to accelerate media processing and other data-parallel programs. This article proposes that subword parallelism-parallel computation on lower precision data packed into a word-is an efficient and effective solution for accelerating media processing. As an example, it describes MAX-2, a very lean, RISC-like set of media acceleration primitives included in the 64-bit PA-RISC 2.0 architecture. Because MAX-2 strives to be a minimal set of instructions, the article discusses both instructions included and excluded. Several examples illustrate the use of MAX-2 instructions, which provide subword parallelism in a word-oriented general-purpose processor at essentially no incremental cost.

Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform

Abstract: This paper proposes a high capacity reversible image watermarking scheme based on integer-to-integer wavelet transforms. The proposed scheme divides an input image into nonoverlapping blocks and embeds a watermark into the high-frequency wavelet coefficients of each block. The conditions to avoid both underflow and overflow in the spatial domain are derived for an arbitrary wavelet and block size. The payload to be embedded includes not only messages but also side information used to reconstruct the exact original image. To minimize the mean-squared distortion between the original and the watermarked images given a payload, the watermark is adaptively embedded into the image. The experimental results show that the proposed scheme achieves higher embedding capacity while maintaining distortion at a lower level than the existing reversible watermarking schemes.

Replaceable part with integral memory for usage, calibration and other data

Abstract: A printer/copier apparatus is adapted to receive a replacement ink cartridge that is employed during the printing/copying operation. The apparatus includes a receptacle with a first connector that is coupled to a processor which controls operation of the apparatus. The cartridge includes a second connector which mates with the first connector and a serial access memory that is connected to the second connector. Data transfers are enabled both from and to the memory to enable access and modification of data stored therein that is indicative of cartridge usage, calibration, and to parameters for controlling operation of the apparatus. The invention is applicable to replaceable apparatus used with laser and ink jet printers, copiers, etc.

Full-System Power Analysis and Modeling for Server Environments

Abstract: The increasing costs of power delivery and cooling, as well as the trend toward higher-density computer systems, have created a growing demand for better power management in server environments. Despite the increasing interest in this issue, little work has been done in quantitatively understanding power consumption trends and developing simple yet accurate models to predict full-system power. We study the component-level power breakdown and variation, as well as temporal workload-specific power consumption of an instrumented power-optimized blade server. Using this analysis, we examine the validity of prior adhoc approaches to understanding power breakdown and quantify several interesting trends important for power modeling and management in the future. We also introduce Mantis, a nonintrusive method for modeling full-system power consumption and providing real-time power prediction. Mantis uses a onetime calibration phase to generate a model by correlating AC power measurements with user-level system utilization metrics. We experimentally validate the model on two server systems with drastically different power footprints and characteristics (a low-end blade and high-end compute-optimized server) using a variety of workloads. Mantis provides power estimates with high accuracy for both overall and temporal power consumption, making it a valuable tool for power-aware scheduling and analysis.