Navigating Multimedia

Author(s):  
Julie A. DeCesare

The Web has quickly become a resource for multimedia and video content. Search engines have tools to mine for visual content, but finding video content creates different challenges than searching for text. This chapter presents a detailed guide on searching for visual multimedia content and provides a showcase of innovative collections and resources. The reader will learn research strategies, gain specific skills in navigating multimedia, and receive a list of resources for finding subject-specific and interdisciplinary video content. Resources are reviewed based on content quality, partnerships, technical specifications, and overall usability.

2015 ◽  
pp. 981-996
Author(s):  
Julie A. DeCesare

The Web has quickly become a resource for multimedia and video content. Search engines have tools to mine for visual content, but finding video content creates different challenges than searching for text. This chapter presents a detailed guide on searching for visual multimedia content and provides a showcase of innovative collections and resources. The reader will learn research strategies, gain specific skills in navigating multimedia, and receive a list of resources for finding subject-specific and interdisciplinary video content. Resources are reviewed based on content quality, partnerships, technical specifications, and overall usability.


First Monday ◽  
2010 ◽  
Author(s):  
Fabricio Benevenuto ◽  
Tiago Rodrigues ◽  
Virgílio A.F. Almeida ◽  
Jussara Almeida ◽  
Marcos Gonçalves ◽  
...  

Videos have become a predominant part of users’ daily lives on the Web, especially with the emergence of video sharing services, such as YouTube. Part of the huge success of multimedia content in the Web is due to the change on the user perspective from content consumer to content creator. However, by allowing users to publicize their independently generated content, video sharing networks become susceptible to different types of pollution. As example, users can pollute the system spreading video messages containing undesirable content. Users can also associate metadata with videos in attempt to fool video search engines (i.e., popular tags, but unrelated to the content). Moreover, users can upload identical videos, generating duplicates of the same content on the system. Such pollution compromises not only the user satisfaction, but it also consumes system resources and can impact negatively aspects related to infrastructure. In this work we provide a general overview of pollution in video sharing systems. We define the different kinds of existent pollution, their negative impact to users and system and possible strategies to minimize the problem.


Ranking Algorithm is the most proper way of positioning on a scale. As the information and knowledge on the internet are increasing every day.The search engine's ability to deliver the most appropriate material to the customer. It is more and more challenging without even any assistance in filtering through all of it. However, searching what user requires is extremely difficult. In this research, an effort has been made to compare and analyze the most popular and effective search engines. The keywords were used in uniform resource locator like, title tag, header, or even the keyword's resembles to the actual text. The page rank algorithm computes a perfect judgment of how relevant a webpage is by analyzing the quality and calculating the number of links connected to it. In this study the keyword relevancy and time response were used for search engines and observed the results. It is observed that the google search engine is faster than the bing and youtube, and after all, bing is the best search engine after google. Moreover, youtube is the fastest search engine in terms of video content search. The google results were found more accurate. However, it is better than all of the search engine


2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.


2001 ◽  
Vol 1 (3) ◽  
pp. 28-31 ◽  
Author(s):  
Valerie Stevenson

Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.


Author(s):  
Letícia Seixas Pereira ◽  
João Guerreiro ◽  
André Rodrigues ◽  
André Santos ◽  
João Vicente ◽  
...  

Image description has been a recurrent topic on web accessibility over the years. With the increased use of social networks, this discussion is even more relevant. Social networks are responsible for a considerable part of the images available on the web. In this context, users are not only consuming visual content but also creating it. Due to this shared responsibility of providing accessible content, major platforms must go beyond accessible interfaces. Additional resources must also be available to support users in creating accessible content. Although many of today's services already support accessible media content authoring, current efforts still fail to properly integrate and guide their users through the authoring process. One of the consequences is that many users are still unaware of what an image description is, how to provide it, and why it is necessary. We present SONAAR, a project that aims to improve the accessibility of user-generated content on social networks. Our approach is to support the authoring and consumption of accessible social media content. Our prototypes currently focus on Twitter and Facebook and are available as an Android application and as a Chrome extension.


2012 ◽  
Vol 70 (2) ◽  
pp. 1229-1250 ◽  
Author(s):  
Christine Vanoirbeek ◽  
Vincent Quint ◽  
Stéphane Sire ◽  
Cécile Roisin

Tripodos ◽  
2021 ◽  
pp. 41-61
Author(s):  
Carlos Lopezosa ◽  
Lluís Codina ◽  
Mario Pérez-Montoro

This paper undertakes a comparative analysis of the visibility, and of other SEO indicators, of the culture sections of Spain’s leading digital newspapers —specifically, elmundo.es, elpais. com, lavanguardia.com, abc.es, el­confidencial.com and 20minutos.es— based on data collected by the media analytics company, comScore, and the web traffic metric, Alexa Rank. The analysis employs a set of positioning in­dicators: namely, a visibility index, keywords, social signals, keyword profiles, URLs, SERP-Snippets, reference domains and best anchor texts, as made availa­ble by SISTRIX, an SEO analytics audit toolbox. Thus, we were able to deter­mine which of the digital newspapers’ culture sections has the best visibility. Likewise, we were able to identify which of these media are best positioned on Google, presumably as a result of more effective positioning strategies. We con­clude with a discussion of our results and, on the basis of these findings, re­commend ways in which the visibility of journalistic information can be optimi­sed in search engines.   SEO i cibermitjans: visibilitat de la informació cultural dels principals diaris d’Espanya Aquest article realitza una anàlisi com­parativa de visibilitat i altres indicadors SEO de la secció de cultura dels principals cibermitjans espanyols: elmundo.es, elpais.com, lavanguardia.com, abc. es, elconfidencial.com i 20minutos. es. Les anàlisis s’han dut a terme amb la utilització d’un conjunt d’indicadors de posicionament (visibilitat, paraules clau, senyals socials, paraules clau, url, snippets, dominis de referència i mi­llors textos àncora) utilitzant l’eina de auditoria i anàlisi de posicionament en cercadors, SISTRIX. Ens preguntem quin d’aquests mitjans té millor una secció de notícies culturals amb millor visibilitat. L’estudi dut a terme amb els indicadors seleccionats permet, d’aquesta manera, presentar una anàlisi comparativa del periodisme cultural i identificar quins d’aquests mitjans presenten millors posicions a Google, presumiblement, com a resultat d’estratègies de posicio­nament. Finalitzem amb una discussió dels resultats juntament amb unes re­comanacions finals per optimitzar la vi­sibilitat de la informació periodística en els cercadors.


Author(s):  
Daniele Besomi

This paper surveys the economic dictionaries available on the internet, both for free and on subscription, addressed to various kinds of audiences from schoolchildren to research students and academics. The focus is not much on content, but on whether and how the possibilities opened by electronic editing and by the modes of distribution and interaction opened by the internet are exploited in the organization and presentation of the materials. The upshot is that although a number of web dictionaries have taken advantage of some of the innovations offered by the internet (in particular the possibility of regularly updating, of turning cross-references into hyperlinks, of adding links to external materials, of adding more or less complex search engines), the observation that internet lexicography has mostly produced more ef! cient dictionary without, however, fundamentally altering the traditional paper structure can be con! rmed for this particular subset of reference works. In particular, what is scarcely explored is the possibility of visualizing the relationship between entries, thus abandoning the project of the early encyclopedists right when the technology provides the means of accomplishing it.


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