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检索条件"任意字段=Imaging and Printing in a Web 2.0 World;and Multimedia Content Access: Algorithms and Systems IV"

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MagCloud: Magazine Self-Publishing for the Long Tail

MagCloud: Magazine Self-Publishing for the Long Tail

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Koh, Kok-Wei Chatow, Ehud Hewlett Packard Labs Palo Alto CA 94304 USA

ISBN: (纸本)9780819479334

In June of 2.08, Hewlett-Packard Labs launched MagCloud, a print-on-demand web service for magazine self-publishing. MagCloud enables anyone to publish their own magazine by simply uploading a PDF file to the site. There are no setup fees, minimum print runs, storage requirements or waste due to unsold magazines. Magazines are only printed when an order is placed, and are shipped directly to the end customer. In the course of building this web service, a number of technological challenges were encountered. In this paper, we will discuss these challenges and the methods used to overcome them. Perhaps the most important decision in enabling the successful launch of MagCloud was the choice to offer a single product. This simplified the PDF validation phase and streamlined the print fulfillment process such that orders can be printed, folded and trimmed in batches, rather than one-by-one. In a sense, MagCloud adopted the Ford Model T approach to manufacturing, where having just a single model with little or no options allows for efficiencies in the production line, enabling a lower product price and opening the market to a much larger customer base. This platform has resulted in a number of new niche publications - the long tail of publishing.

关键词： digital publishing e-commerce web-to-print long tail

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Contextual Advertisement Placement in Printed Media

Contextual Advertisement Placement in Printed Media

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Liu, Sam Joshi, Parag Hewlett-Packard Labs. (United States)

ISBN: (纸本)9780819479334

Advertisements today provide the necessary revenue model supporting the WWW ecosystem. Targeted or contextual ad insertion plays an important role in optimizing the financial return of this model. Nearly all the current ads that appear on web sites are geared for display purposes such as banner and "pay-per-click". Little attention, however, is focused on deriving additional ad revenues when the content is repurposed for alternative mean of presentation, e. g. being printed. Although more and more content is moving to the web, there are still many occasions where printed output of web content is desirable, such as maps and articles;thus printed ad insertion can potentially be lucrative. In this paper, we describe a contextual ad insertion network aimed to realize new revenue for print service providers for web printing. We introduce a cloud print service that enables contextual ads insertion, with respect to the main web page content, when a printout of the page is requested. To encourage service utilization, it would provide higher quality printouts than what is possible from current browser print drivers, which generally produce poor outputs, e. g. ill formatted pages. At this juncture we will limit the scope to only article-related web pages although the concept can be extended to arbitrary web pages. The key components of this system include (1) the extraction of article from web pages, (2) the extraction of semantics from article, (3) querying the ad database for matching advertisement or coupon, and (4) joint content and ad layout for print outputs.

关键词： web printing article extraction natural language processing advertisement selection coupon layout

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An investigation of document aesthetics for web-to-print repurposing of small-medium business marketing collateral

An investigation of document aesthetics for web-to-print rep...

引用

Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Allebach, J. P. Segovia, Maria Ortiz Atkins, C. Brian O'Brien-Strain, Eamonn Damera-Venkat, Niranjan Bhatti, Nina Liu, Jerry Lin, Qian Purdue Univ W Lafayette IN 47907 USA Hewlett Packard Lab Palo Alto Palo Alto CA 94304 USA

ISBN: (纸本)9780819479334

Businesses have traditionally relied on different types of media to communicate with existing and potential customers. With the emergence of the web, the relation between the use of print and electronic media has continually evolved. In this paper, we investigate one possible scenario that combines the use of the web and print. Specifically, we consider the scenario where a small- or medium-sized business (SMB) has an existing web site from which they wish to pull content to create a print piece. Our assumption is that the web site was developed by a professional designer, working in conjunction with the business owner or marketing team, and that it contains a rich assembly of content that is presented in an aesthetically pleasing manner. Our goal is to understand the process that a designer would follow to create an effective and aesthetically pleasing print piece. We are particularly interested to understand the choices made by the designer with respect to placement and size of the text and graphic elements on the page. Toward this end, we conducted an experiment in which professional designers worked with SMBs to create print pieces from their respective web pages. In this paper, we report our findings from this experiment, and examine the underlying conclusions regarding the resulting document aesthetics in the context of the existing design, and engineering and computer science literatures that address this topic

关键词： aesthetics marketing collateral repurposing web-to-print documents document layout

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Faces from the web: Automatic selection and composition of media for casual screen consumption and printed art-work

Faces from the web: Automatic selection and composition of m...

引用

Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Cheatle, Phil Greig, Darryl Slatter, David Hewlett Packard Labs Bristol BS34 8QZ Avon England

ISBN: (纸本)9780819479334

web image search engines facilitate the production of image sets in which faces appear. Many people enjoy producing and sharing media collections of this type and generating new images or video experiences. Skilled practitioners produce visually appealing artifacts from such collections but few users have the time or creative ability to do so. The problem is to automatically create an image or ambient experience which sustains interest. A full solution requires agreements with copyright holders and input from graphics designers. We address the underlying technical problems of extraction and composition. We describe an automatic system that identifies regions containing human faces in each image of an image set resulting from a web search. The face regions are composed into dynamically synthesized multilayer graphical backgrounds. The aesthetic aspects of the composition are controlled by active templates. These aspects include face size and positioning but also face identity and number of faces in a group. The output structure is multi layer supporting both the generation of static images and video consisting of transitions between the compositions.

关键词： automatic layout photo collage automatic video editing

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Composition of SIFT features for Robust Image Representation

Composition of SIFT features for Robust Image Representation

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Infantino, Ignazio Spoto, Giovanni Vella, Filippo Gaglio, Salvatore CNR ICAR Viale Sci Ed 11 Palermo Italy Univ Palermo DINFO Palermo Italy

ISBN: (纸本)9780819479334

In this paper we propose a novel feature based on SIFT (Scale Invariant Feature Transform) algorithm(1) for the robust representation of local visual contents. SIFT features have raised much interest for their power of description of visual content characterizing punctual information against variation of luminance and change of viewpoint and they are very useful to capture local information. For a single image hundreds of keypoints are found and they are particularly suitable for tasks dealing with image registration or image matching. In this work we stretched the spatial coverage of descriptors creating a novel feature as composition of keypoints present in an image region while maintaining the invariance properties of SIFT descriptors. The number of descriptors is reduced, limiting the computational weight, and at the same time a more abstract descriptor is achieved. The new feature is therefore suitable at describing objects and characteristic image regions. We tested the retrieval performance with a dataset used to test PCA SIFT2 and image matching capability among images processed with affine transformations. Experimental results are reported.

关键词： Image retrieval Visualization Image processing Feature extraction Image registration Image restoration Principal component analysis Composites imaging systems Classification systems

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Generic and optimized framework for multi-content analysis based on learning approaches

Generic and optimized framework for multi-content analysis b...

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Besnehard, Quentin Marchessoux, Cedric Kimpe, Tom Barco NV B-8500 Kortrijk Belgium

ISBN: (纸本)9780819479334

During the European Cantata project (ITEA project, 2.06-2.09), a Multi-content Analysis framework for the classification of compound images in various categories (text, graphical user interface, medical images, other complex images) was developed within Barco. The framework consists of six parts: a dataset, a feature selection method, a machine learning based Multi-content Analysis (MCA) algorithm, a Ground Truth, an evaluation module based on metrics and a presentation module. This methodology was built on a cascade of decision tree-based classifiers combined and trained with the AdaBoost meta-algorithm. In order to be able to train these classifiers on large training datasets without excessively increasing the training time, various optimizations were implemented. These optimizations were performed at two levels: the methodology itself (feature selection / elimination, dataset pre-computation) and the decision-tree training algorithm (binary threshold search, dataset presorting and alternate splitting algorithm). These optimizations have little or no negative impact on the classification performance of the resulting classifiers. As a result, the training time of the classifiers was significantly reduced, mainly because the optimized decision-tree training algorithm has a lower algorithmic complexity. The time saved through this optimized methodology was used to compare the results of a greater number of different training parameters.

关键词： Multi-content analysis machine learning AdaBoost decision trees optimization

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A web Based Rapid Assessment Tool for Production Publishing Solutions

A Web Based Rapid Assessment Tool for Production Publishing ...

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Sun, Tong Xerox Innovat Grp Webster NY 14850 USA

ISBN: (纸本)9780819479334

Solution assessment is a critical first-step in understanding and measuring the business process efficiency enabled by an integrated solution package. However, assessing the effectiveness of any solution is usually a very expensive and time-consuming task which involves lots of domain knowledge, collecting and understanding the specific customer operational context, defining validation scenarios and estimating the expected performance and operational cost. This paper presents an intelligent web-based tool that can rapidly assess any given solution package for production publishing workflows via a simulation engine and create a report for various estimated performance metrics (e.g. throughput, turnaround time, resource utilization) and operational cost. By integrating the digital publishing workflow ontology and an activity based costing model with a Petri-net based workflow simulation engine, this web-based tool allows users to quickly evaluate any potential digital publishing solutions side-by-side within their desired operational contexts, and provides a low-cost and rapid assessment for organizations before committing any purchase. This tool also benefits the solution providers to shorten the sales cycles, establishing a trustworthy customer relationship and supplement the professional assessment services with a proven quantitative simulation and estimation technology.

关键词： web-based assessment production publishing workflow domain workflow ontology activity-based costing Petri-net simulation

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Comparative study of content-base image retrieval and video fingerprinting

Comparative study of content-base image retrieval and video ...

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imaging and printing in a web 2.0 world;and multimedia content access: algorithms and systems iv

作者： Lin, Xiaofan Vobile Inc. 4699 Old Ironsides Drive Ste. 430 Santa Clara CA 95054 United States

ISBN: (纸本)9780819479334

content-based image retrieval (CBIR) has been studied for nearly two decades since IBM's research on QBIC (Query by Image content) [1]. In the past decade, another related but different area, video fingerprinting, is attracting more and more attention. There are numerous papers published in both areas and researchers from the two areas are sporadically citing results from each other. However, as far as we know, there is no comprehensive comparison between those two areas. This paper attempts to fill in this gap by explicitly discussing the wide array of differences and connections between those two areas. We believe that such a comparative study can facilitate researchers migrating or crosspollinating between the two areas. © 2010 Copyright SPIE - The International Society for Optical Engineering.

关键词： content based retrieval

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content-Based Image Retrieval With Ontological Ranking

Content-Based Image Retrieval With Ontological Ranking

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Tsai, Shen-Fu Tsai, Min-Hsuan Huang, Thomas S. Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

ISBN: (纸本)9780819479334

Images are a much more powerful medium of expression than text, as the adage says: "One picture is worth a thousand words." It is because compared with text consisting of an array of words, an image has more degrees of freedom and therefore a more complicated structure. However, the less limited structure of images presents researchers in the computer vision community a tough task of teaching machines to understand and organize images, especially when a limit number of learning examples and background knowledge are given. The advance of internet and web technology in the past decade has changed the way human gain knowledge. People, hence, can exchange knowledge with others by discussing and contributing information on the web. As a result, the web pages in the internet have become a living and growing source of information. One is therefore tempted to wonder whether machines can learn from the web knowledge base as well. Indeed, it is possible to make computer learn from the internet and provide human with more meaningful knowledge. In this work, we explore this novel possibility on image understanding applied to semantic image search. We exploit web resources to obtain links from images to keywords and a semantic ontology constituting human's general knowledge. The former maps visual content to related text in contrast to the traditional way of associating images with surrounding text;the latter provides relations between concepts for machines to understand to what extent and in what sense an image is close to the image search query. With the aid of these two tools, the resulting image search system is thus content-based and moreover, organized. The returned images are ranked and organized such that semantically similar images are grouped together and given a rank based on the semantic closeness to the input query. The novelty of the system is twofold: first, images are retrieved not only based on text cues but their actual contents as well;second, the grouping is

关键词： Image retrieval ontology multimedia

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Three-domain Image Representation for Personal Photo Album Management

Three-domain Image Representation for Personal Photo Album M...

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Conference on imaging and printing in a web 2.0 world;and multimedia content access - algorithms and systems iv

作者： Ardizzone, E. La Cascia, M. Morana, M. Vella, F. Univ Palermo Dipartimento Ingn Informat Viale Sci Ed 6 Palermo Italy Consiglio Nazl Rice Ist Calcolo & Reti Alte Prestaz Palermo Italy

ISBN: (纸本)9780819479334

In this paper we present a novel approach for personal photo album management. Pictures are analyzed and described in three representation spaces, namely, faces, background and time of capture. Faces are automatically detected and rectified using a probabilistic feature extraction technique. Face representation is then produced by computing PCA (Principal Component Analysis). Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Temporal data is obtained through the extraction of EXIF (Exchangeable image file format) data. Each image in the collection is then automatically organized using a mean-shift clustering technique. While many systems manage faces and typically allow queries about them we use a common approach to manage multiple aspects, that is, queries regarding people, time and background are dealt with in a homogenous way. We report experimental results on a realistic set, i.e., a personal photo album, of about 2.00 images where automatic detection and rectification of faces lead to approximately 800 faces. Significance of clustering has been evaluated and results are very interesting.

关键词： CBIR - content Based Image Retrieval automatic image annotation personal photo album management

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