Semi automatic video analysis for linking television to the web

•

1 like•318 views

This mathematical document discusses concepts including positive and negative integers, sets, probabilities, and occurrences within a range. It contains symbols and equations but provides no context or explanation for the mathematical content.

Technology Business

1

2
-

...
-1

1 1
1 8 2 2
2 :
p …
… # #
-1 -1
ϵ (0. ,0. )

Semi automatic video analysis for linking television to the web

More from LinkedTV

LinkedTV Deliverable 7.7 - Dissemination and Standardisation Report (v3)

LinkedTV

The deliverable presents the results of evaluating the final scenario demonstrators LinkedNews and LinkedCulture in the LinkedTV project. We tested specifically user satisfaction with the enriched TV experience we enabled for cultural heritage and news TV programs. We also supported the evaluation of other aspects of the LinkedTV technologies in the trials, specifically the personalization and content curation.

LinkedTV Deliverable 6.5 - Final evaluation of the LinkedTV Scenarios

LinkedTV

The LinkedTV architecture lays the foundation for the LinkedTV system. It consists of the integrating platform for the end-to-end functionality, the backend components and the supporting client components. Since the architecture of a software system has a fundamental impact on quality attributes, it is important to evaluate its design. The document at hand reports on the validation of the LinkedTV architecture.

LinkedTV Deliverable 5.7 - Validation of the LinkedTV Architecture

LinkedTV

This deliverable covers all the aspects of evaluation of the overall LinkedTV personalization workflow, as well as re-evaluations of techniques where newer technology and / or algorithmic capacity offer new insight into the general performance. The implicit contextualized personalization workflow, the implicit uncontextualized workflow in the premises of the final LinkedTV application, the advances in context tracking given new technologies emerged and the outlook of video recommendation beyond LinkedTV is measured and analyzed in this document.

LinkedTV Deliverable 4.7 - Contextualisation and personalisation evaluation a...

LinkedTV

This document presents guidelines on how to setup enriched video experiences. We provide user-centric guidelines on the named entities that should be detected and selected to effectively enrich video news broadcasts. This is presented in the form of a user study. We selected 5 news videos and manually extracted the candidate entities from various sources, such as the transcript, visual content and related articles. An expert was asked to also provide interesting entities for the videos. The resulting 99 candidate entities were presented to 50 participants via an online survey. The participants rated the level of interestingness of the entities and the usefulness of information from Wikipedia about these entities. Analysis of the results shows that users prefer entities of the type organization and person and have little interest for entities of the type location. They also indicate that subtitles are not enough as a source of interesting entities and that the amount of interesting entities can be improved by the combined use of subtitles with entities extracted from related articles or entities suggested by an expert. The expert suggestions showed to be more accurate than any other source of entities. Wikipedia seems to be a suitable source of additional information about the entities in the news, but should be complemented with additional sources. We provide engineering guidelines on how to present, aggregate and process content for TV program companion applications. We describe the content processing pipeline that was developed in WP3 to feed the content for the LinkedNews and Linked Culture demonstrators. This shows how content from the Web can be re-purposed to enrich videos by extracting the core display content and presenting it in a uniform way to the user.

LinkedTV Deliverable 3.8 - Design guideline document for concept-based presen...

LinkedTV

This deliverable presents the evaluation of content annotation and content enrichment systems that are part of the final tool set developed within the LinkedTV consortium. The evaluations were performed on both the Linked News and Linked Culture trial content, as well as on other content annotated for this purpose. The evaluation spans three languages: German (Linked News), Dutch (Linked Culture) and English. Selected algorithms and tools were also subject to benchmarking in two international contests: MediaEval 2014 and TAC’14. Additionally, the Microposts 2015 NEEL Challenge is being organized with the support of LinkedTV.

LinkedTV Deliverable 2.7 - Final Linked Media Layer and Evaluation

LinkedTV

This deliverable describes the conducted evaluation activities for assessing the performance of a number of developed methods for intelligent hypervideo analysis and the usability of the implemented Editor Tool for supporting video annotation and enrichment. Based on the performance evaluations reported in D1.4 regarding a set of LinkedTV analysis components, we extended our experiments for assessing the effectiveness of newer versions of these methods as well as of entirely new techniques, concerning the accuracy and the time efficiency of the analysis. For this purpose, in-house experiments and participations at international benchmarking activities were made, and the outcomes are reported in this deliverable. Moreover, we present the results of user trials regarding the developed Editor Tool, where groups of experts assessed its usability and the supported functionalities, and evaluated the usefulness and the accuracy of the implemented video segmentation approaches based on the analysis requirements of the LinkedTV scenarios. By this deliverable we complete the reporting of WP1 evaluations that aimed to assess the efficiency of the developed multimedia analysis methods throughout the project, according to the analysis requirements of the LinkedTV scenarios.

LinkedTV Deliverable 1.6 - Intelligent hypervideo analysis evaluation, final ...

LinkedTV

The LinkedTV media player and API has evolved from a single player and limited API in version 1 to a toolkit to allow rapid development and creation of different kind of applications within the HTML5 / multiscreen space. The main reason for this transition is that during the course of the Linked TV project different partners had different requirements for their scenarios. Instead of trying to fit all these requirements into one player and, most likely, compromise on the functionalities of the scenarios we wanted to offer something that would allow all partners a satisfiable solution. Therefore the Springfield Multiscreen Toolkit, or short SMT, has been developed. The aim for the SMT was to allow flexibility for developing multiscreen applications. Also from a commercial point of view a toolkit with examples is more interesting than a pure player as it gives the freedom of developing new ideas with the LinkedTV platform.

LinkedTV Deliverable 5.5 - LinkedTV front-end: video player and MediaCanvas A...

LinkedTV

LinkedTV tools for Linked Media applications (LIME 2015 workshop talk)

LinkedTV

LinkedTV Newsletter (2015 edition)

LinkedTV

LinkedTV Deliverable D4.6 Contextualisation solution and implementation

LinkedTV

This report describes the LinkedTV user interfaces. Based on the results user studies and the initial evaluation of the year 2 prototype we selected and refined the interfaces. We selected a single screen application that uses HbbTV technology to provide additional information about a TV program as an overlay on the TV broadcast. In addition, we worked towards TV program companion applications that are tailored for two domains: news and cultural heritage. With these applications we demonstrate different types of interaction modes, such as synchronized content on a second screen, and bookmarking chapters combined with the exploration of related content after the program. The interfaces are built on top of the Multiscreen Toolkit. We created a component-based infrastructure that allows us to quickly create tailored companion applications by reusing and configuring interface components. In the final part of the project we finalize this approach and test it by applying it to a new domain.

LinkedTV Deliverable D3.7 User Interfaces selected and refined (version 2)

LinkedTV

This deliverable describes the final LinkedTV framework that provides a set of possible enrichment resources for seed video content using techniques such as text and web mining, information extraction and information retrieval technologies. The enrichment content is obtained from four type of sources: a) by crawling and indexing web sites described in a white list specified by the content partners, b) by querying the API or SPARQL endpoint of the Europeana digital library network which is publicly exposed, c) by querying multiple social networking APIs, d) by hyperlinking to other parts of TV programs within the same collection using a Solr index. This deliverable also describes an additional content annotation functionality, namely labelling enrichment (as well as seed) content with thematic topics, as well as the process of exposing content annotations to this module and to the filtering services of LinkedTV’s personalization workflow. We illustrate the enrichment workflow for the two main scenarios of LinkedTV which have lead to the development of the LinkedCulture and LinkedNews applications, which respectively use the TVEnricher and TVNewsEnricher enrichment services. The original title of this deliverable from the DoW was Advanced concept labelling by complementary Web mining.

LinkedTV Deliverable D2.6 LinkedTV Framework for Generating Video Enrichments...

LinkedTV

This document reports on the design and implementation of the final version of the editor tool (ET) v2.0, where its purpose is to serve the program editing teams of broadcasters that have adopted LinkedTV’s interactive television solution into their workflow. Two of these teams are currently represented in the LinkedTV project, namely the RBB team and the AVROTROS team (formerly known as AVRO). The main purpose of the ET is to provide a means to correct and curate automatically generated annotations and hyperlinks created by the audiovisual and textual analysis technologies developed in WP 1 and 2 of the LinkedTV project. Without the intervention of human editors to correct this data, there is a reasonable risk of exposing inappropriate, incorrect or irrelevant information to the viewers of a LinkedTV interactive broadcast.

LinkedTV Deliverable D1.5 The Editor Tool, final release

LinkedTV

Having extensively evaluated the performance of the technologies included in the first release of WP1 multimedia analysis tools, using content from the LinkedTV scenarios and by participating in international benchmarking activities, concrete decisions regarding the appropriateness and the importance of each individual method or combination of methods were made, which, combined with an updated list of information needs for each scenario, led to a new set of analysis requirements that had to be addressed through the release of the final set of analysis techniques of WP1. To this end, coordinated efforts on three directions, including (a) the improvement of a number of methods in terms of accuracy and time efficiency, (b) the development of new technologies and (c) the definition of synergies between methods for obtaining new types of information via multimodal processing, resulted in the final bunch of multimedia analysis methods for video hyperlinking. Moreover, the different developed analysis modules have been integrated into a web-based infrastructure, allowing the fully automatic linking of the multitude of WP1 technologies and the overall LinkedTV platform.

LinkedTV Deliverable D1.4 Visual, text and audio information analysis for hyp...

LinkedTV

D8.6 presents the results of the market analysis for LinkedTV products and services and consists of two parts: an overall analysis of current and future developments in the TV and digital video market and a specific market analysis of potential LinkedTV customers and competitors. Based on the market analysis it was possible to provide a first rough estimation of the LinkedTV market potential and to position LinkedTV on the market.

LinkedTV D8.6 Market and Product Survey for LinkedTV Services and Technology

LinkedTV

This deliverable presents the LinkedTV Public Demonstrator which will be an online, publicly accessible Website collecting showcases of the key project outputs which form together our LinkedTV solution: the Editor Tool, Platform and Player, complemented by demonstrations of the provision of this solution for the content of two European broadcasters: the LinkedCulture and LinkedNews scenario demonstrators.

LinkedTV D7.6 Project Demonstrator v2

LinkedTV

LinkedTV D7.5 LinkedTV Dissemination and Standardisation Report v2

LinkedTV

User trials were prepared and conducted in the first quarter of 2014 in order to assess the appropriateness of the innovative functionalities of the second screen demonstrator developed in Y2 of the LinkedTV project. A sample installation of LinkedTV was set up at three different locations: at Rundfunk Berlin Brandenburg (RBB), Sound & Vision (S&V), and at the University of St. Gallen (USG). The LinkedTV installation included a TV showing sample content (“main screen”) and an tablet (“second screen”) showing chapters of the program as well as semi-automaticaly acquired additional information about persons, topics and places depicted in the program on the main screen. In total 24 participants took part in the trial at all three locations (9 at RBB, 5 at S&V and 10 at USG). To assess the appropriateness of the LinkedTV features, the trial participants were provided with a “hands-on” opportunity to use the LinkedTV Application and were observed while using the installation. The participants also filled in a questionnaire at the end of the session.

LinkedTV Deliverable D6.3 User Trial Results

LinkedTV

LinkedTV Deliverable D5.6 Final LinkedTV End-to-End Platform

LinkedTV

Recently uploaded

Speed Wins: From Kafka to APIs in Minutes

confluent

PLAI - Acceleration Program for Generative A.I. Startups

Stefano

The standard Salesforce Approval process can be limiting in many ways, especially in complex scenarios. What if there was a way to implement very flexible approvals where one can use Apex code to make data updates in unrelated records, dynamically generate next steps details, and compute assignees on the fly? And still use UI-based configurations to implement concrete approval processes. In this session, we will share ideas behind such a solution and show a few lines of code to get you started.

Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder

CzechDreamin

What's New in Teams Calling, Meetings and Devices April 2024

Stephanie Beckett

Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.' We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly. By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

CzechDreamin

FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...

FIDO Alliance

I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors. Why this matters: The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions. Highlights: ▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain ▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing ▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond ▪ Future of Work: How automation will redefine jobs and economic structures by 2040 With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Peter Udo Diehl

This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

Strategic AI Integration in Engineering Teams

UXDXConf

Extensible Python: Robustness through Addition - PyCon 2024

Patrick Viafore

Discover the top Symfony development companies that excel in creating robust and scalable web applications. Our latest blog highlights the best firms specializing in Symfony, known for their expertise in delivering high-performance solutions. Whether you’re looking to start a new project or enhance an existing one, these companies offer the skills and experience needed to bring your vision to life. Read more to find your perfect Symfony development partner.

Top 10 Symfony Development Companies 2024

TopCSSGallery

This presentation focuses on the challenges and strategies of connecting problem definitions within product development. Key Points Covered: - Kayak's mission since its inception in 2004 to simplify travel by enabling easy comparisons of flights through technological solutions. - Discussion of the complexities within the travel industry, including the high expectations for personalized user experiences and the various stakeholder influences. - Emphasis on the necessity of maintaining agility and innovation within a mature company through continuous reassessment of processes. - An explanation of the importance of disciplined problem definition to prevent project failures and team inefficiencies. - Introduction of strategies for effective communication across teams to ensure alignment and comprehension at all levels of project development. - Exploration of various problem-solving methodologies, including how to handle conflicts within team settings regarding problem definitions and project directions.

Connecting the Dots in Product Design at KAYAK

UXDXConf

AI presentation and introduction - Retrieval Augmented Generation RAG 101

vincent683379

Intrigued by why some of the world's largest companies (Netflix, Google, Cisco, Twitter, Uber etc) are using gRPC? In this demo based talk we delve into the world of gRPC in .Net, what it does and why we should use it. We compare the interface with both Rest and graphQL. We will show you how to implement grpc server-side in .net and in the web. Finally, I will show you how the tooling helps you deliver powerful interfaces and interact with them quickly and simply.

Demystifying gRPC in .Net by John Staveley

John Staveley

ScyllaDB has the potential to deliver impressive performance and scalability. The better you understand how it works, the more you can squeeze out of it. But before you squeeze, make sure you know what to monitor! Watch our experienced Postgres developer work through monitoring and performance strategies that help him understand what mistakes he’s made moving to NoSQL. And learn with him as our database performance expert offers friendly guidance on how to use monitoring and performance tuning to get his sample Rust application on the right track. This webinar focuses on using monitoring and performance tuning to discover and correct mistakes that commonly occur when developers move from SQL to NoSQL. For example: - Common issues getting up and running with the monitoring stack - Using the CQL optimizations dashboard - Common issues causing high latency in a node - Common issues causing replica imbalance - What a healthy system looks like in terms of memory - Key metrics to keep an eye on This isn’t “Death-by-Powerpoint.” We’ll walk through problems encountered while migrating a real application from Postgres to ScyllaDB – and try to fix them live as well.

Optimizing NoSQL Performance Through Observability

ScyllaDB

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.

Enterprise Knowledge Graphs - Data Summit 2024

Enterprise Knowledge

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...

FIDO Alliance

Designing inclusive products is not only a social responsibility but also a business imperative. This talk delves into the journey of creating accessible hardware products that cater to diverse user needs. Key Topics Covered: 1. Introduction to Inclusive Design - Importance of accessibility in product design - Overview of Comcast's commitment to making products accessible to a wide audience 2. Case Study: Xfinity Large Button Voice Remote - Initial challenges and the evolution of the product - User research and feedback that shaped the design - Key features of the final product and their benefits 3. Designing for Diverse Needs - Understanding human-centered design and its historical context - The impact of designing for people with disabilities on overall product quality - Examples from other industries, such as architecture and industrial design 4. Integrating Accessibility from the Beginning - The cost and efficiency benefits of designing for accessibility from the start - The process of embedding accessibility as a core trait rather than an optional feature 5. Real-World Impact and Continuous Improvement - Insights from in-home studies with users having assistive needs - How continuous feedback and iterative design lead to better products - The role of inclusive research and development practices

Designing for Hardware Accessibility at Comcast

UXDXConf

How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf

FIDO Alliance

Ever caught yourself nodding along when someone mentions "delivering value" in Agile, but secretly wondering what the heck they actually mean? You're not alone! Join us for an eye-opening session where we'll strip away the buzzwords and dive into the heart of Agile—value delivery. But what is "value"? Is it a mythical unicorn in the world of software development, or is there more to this overused term? This isn't going to be a sit-and-get lecture. We're talking about a face-to-face, interactive meetup where YOU play a crucial role. Come along to: Define It: What does "value" really mean? We’ll build a definition that’s not just words, but a compass for your Agile journey. Contextualise It: Discover what value means specifically to you, your team, your company, and your industry. Because one size does not fit all. Deliver It: Share strategies and gather new ones for uncovering and delivering true value—no more shooting in the dark!

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

David Michel

Syngulon’s technology expands the capacity for selection of microorganisms. The ability to select individual microbes with a behavior of interest is essential, whether for simple cloning at the bench, or for industry-scale production. Synthetic biology uses the concept of “bioengineering” to improve or modify existing genetic systems to create microbes with desired behaviors, and Syngulon uses this approach to develop its selection technologies. This selection technology is based on bacteriocins, ribosomally-produced peptides naturally made by most bacteria to kill competitive microbial species. These bacteriocins can have a limited or wide target range against other microbial species. This technology offers advantageous over antibiotic selection for several reasons: it avoids the use of antibiotics in the first place, helping to reduce the spread of antibiotic resistant microbes. The technology also increases product yield; as bacteriocins are generally smaller peptides, they do not impose a heavy metabolic burden on the producing cell. They can have a wide target specificity, helping to avoid genetic drift. Finally, our system is 100% plasmid-based (e.g. without chromosomal mutations), making it applicable for use in any E. coli strains.

Syngulon - Selection technology May 2024.pdf

Syngulon

Recently uploaded (20)

Speed Wins: From Kafka to APIs in Minutes

PLAI - Acceleration Program for Generative A.I. Startups

Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder

What's New in Teams Calling, Meetings and Devices April 2024

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl

Strategic AI Integration in Engineering Teams

Extensible Python: Robustness through Addition - PyCon 2024

Top 10 Symfony Development Companies 2024

Connecting the Dots in Product Design at KAYAK

AI presentation and introduction - Retrieval Augmented Generation RAG 101

Demystifying gRPC in .Net by John Staveley

Optimizing NoSQL Performance Through Observability

Enterprise Knowledge Graphs - Data Summit 2024

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...

Designing for Hardware Accessibility at Comcast

How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

Syngulon - Selection technology May 2024.pdf