O'connor Noel E (49 results)

Paperback. Condition: New. For many organizations, a big part of DevOps' appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You'll learn how a container-centric approach from OpenShift, Red Hat's cloud-based PaaS, can help your team deliver quality software through a self-service view of IT infrastructure. Three OpenShift experts at Red Hat explain how to configure Docker application containers and the Kubernetes cluster manager with OpenShift's developer- and operational-centric tools. Discover how this infrastructure-agnostic container management platform can help companies navigate the murky area where infrastructure-as-code ends and application automation begins. Get an application-centric view of automation-and understand why it's important Learn patterns and practical examples for managing continuous deployments such as rolling, A/B, blue-green, and canary Implement continuous integration pipelines with OpenShift's Jenkins capability Explore mechanisms for separating and managing configuration from static runtime software Learn how to use and customize OpenShift's source-to-image capability Delve into management and operational considerations when working with OpenShift-based application workloads Install a self-contained local version of the OpenShift environment on your computer.…

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. For many organizations, a big part of DevOps' appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You'll learn how a container-centric approach from OpenShift, Red Hat's cloud-based PaaS, can help your team deliver quality software through a self-service view of IT infrastructure. Three OpenShift experts at Red Hat explain how to configure Docker application containers and the Kubernetes cluster manager with OpenShift's developer- and operational-centric tools. Discover how this infrastructure-agnostic container management platform can help companies navigate the murky area where infrastructure-as-code ends and application automation begins. Get an application-centric view of automation-and understand why it's important Learn patterns and practical examples for managing continuous deployments such as rolling, A/B, blue-green, and canary Implement continuous integration pipelines with OpenShift's Jenkins capability Explore mechanisms for separating and managing configuration from static runtime software Learn how to use and customize OpenShift's source-to-image capability Delve into management and operational considerations when working with OpenShift-based application workloads Install a self-contained local version of the OpenShift environment on your computer.…

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 488 pages. 9.25x6.10x1.10 inches. In Stock.

Condition: New.

Paperback. Condition: Brand New. 676 pages. 9.25x6.10x1.46 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNCS 10704 and 10705 constitutes the thoroughly refereed proceedings of the 24th International Conference on Multimedia Modeling, MMM 2018, held in Bangkok, Thailand, in February 2018.Of the 185 full papers submitted, 46 were selected for oral presentation and 28 for poster presentation; in addition, 5 papers were accepted for Multimedia Analytics: Perspectives, Techniques, and Applications, 12 extended abstracts for demonstrations ,and 9 accepted papers for Video Browser Showdown 2018. All papers presented were carefully reviewed and selected from 185 submissions.…

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Keynote Speaker Abstracts.- Pattern Mining in Large-Scale Image and Video Sources.- Computer Vision in the Movies: From the Lab to the Big Screen.- Image and Video Retrieval Using New Capture and Display Devices.- Models of Interaction with Video Information.- Image Annotation and User Searching.- User Strategies in Video Retrieval: A Case Study.- Video Content Foraging.- Using Maximum Entropy for Automatic Image Annotation.- Everything Gets Better All the Time, Apart from the Amount of Data.- Image and Video Retrieval Algorithms (I).- An Inference Network Approach to Image Retrieval.- Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval.- Co-retrieval: A Boosted Reranking Approach for Video Retrieval.- Poster Session (I).- HMM Model Selection Issues for Soccer Video.- Tennis Video Analysis Based on Transformed Motion Vectors.- Semantic Event Detection in Sports Through Motion Understanding.- Structuring Soccer Video Based on Audio Classification and Segmentation Using Hidden Markov Model.- EDU: A Model of Video Summarization.- A News Video Mining Method Based on Statistical Analysis and Visualization.- Topic Threading for Structuring a Large-Scale News Video Archive.- What's News, What's Not Associating News Videos with Words.- Visual Clustering of Trademarks Using a Component-Based Matching Framework.- Assessing Scene Structuring in Consumer Videos.- A Visual Model Approach for Parsing Colonoscopy Videos.- Video Summarization and Retrieval System Using Face Recognition and MPEG-7 Descriptors.- Automatic Generation of Personalized Digest Based on Context Flow and Distinctive Events.- Content-Based Image Retrieval and Characterization on Specific Web Collections.- Exploiting Problem Domain Knowledge for Accurate Building ImageClassification.- Natural Scene Retrieval Based on a Semantic Modeling Step.- Unsupervised Text Segmentation Using Color and Wavelet Features.- Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System.- Task-Based User Evaluation of Content-Based Image Database Browsing Systems.- The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004.- An Empirical Investigation of the Scalability of a Multiple Viewpoint CBIR System.- Real-Time Video Indexing System for Live Digital Broadcast TV Programs.- Person and Event Identification for Retrieval.- Finding Person X: Correlating Names with Visual Appearances.- A Framework for Semantic Classification of Scenes Using Finite State Machines.- Automated Person Identification in Video.- Content-Based Image and Video Retrieval (I).- Content Based Image Synthesis.- Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities.- Content-Based Image and Video Retrieval (II).- Salient Regions for Query by Image Content.- Evaluation of Texture Features for Content-Based Image Retrieval.- An Effective Approach Towards Content-Based Image Retrieval.- Image and Video Retrieval Algorithms (II).- Multimedia Retrieval Using Multiple Examples.- A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval.- Poster Session (II).- Salient Objects: Semantic Building Blocks for Image Concept Interpretation.- Multimodal Salient Objects: General Building Blocks of Semantic Video Concepts.- Video Content Representation as Salient Regions of Activity.- Image Classification into Object / Non-object Classes.- Video Segmentation Using Hidden Markov Model with Multimodal Features.- Feature Based Cut Detection with Automatic Threshold Selection.- A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video.- Extraction of Salient Features for Image Retrieval Using Multi-scale Image Relevance Function.- Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval.- Relevance Feedback Reinforced with Semantics Accumulation.- Faster Exact Histogram Intersection on Large Data Collections Using Inverted VA-Files.- A Graph Edit Distance Based on Nod. …