SMIL 2.0 Interactive Multimedia for Web and Mobile Devices by C. A. Dick Bulterman and Lloyd Rutledge, Springer X.media.publishing, 2004, 440pp, ISBN 3-540-20234-X
Notice bibliographique
Résumé
This is the first textbook containing a complete, in depth description of SMIL.SMIL is an XML language, promulgated by the World Wide Web Consortium, for multimedia authoring.SMIL may be used to create sophisticated multi and hyper-media artifacts by means of the temporal and spatial integration of existing media items, and by defining certain forms of reactivity among such media items.SMIL is typically used for "rich media"/multimedia presentations which integrate streaming audio and video with images, text or any other media type.In common with all XML languages, SMIL is declarative in nature and permits the author to ascribe values to attribute names, such as duration, start, and so forth, which serve to define the behaviour of the items comprising the multimedia artifact.Despite considerable interest in SMIL, especially in the academic community, there has until now been a relative dearth of comprehensive, user-oriented material dealing with the language.This monograph fills the gap admirably.It is written by two of the foremost experts on SMIL, both of whom were intimately involved in the development of both SMIL 1.0 and SMIL 2.0.The authors, appropriately, claim that the book is designed for three audiences: existing SMIL users who need more information, new SMIL authors, and multimedia developers; the book more than adequately meets the needs of these three different audiences.The book is not intended to introduce the concepts of multimedia or, more specifically, multimedia timing concepts.The book certainly achieves its aims of meeting the needs of newcomers and more seasoned developers.In this regard, a particular strength of the volume is the diversity of examples used to describe features of the SMIL language.The newcomer is presented with six examples introduced in Chapter 1 of the book, where they are used to describe the power of SMIL and its diversity of applicability.A number of these examples reappear later at various stages of the book used later on when describing specific SMIL features.The book encourages a hands-on approach to learning SMIL.Part One of the book, comprising the three initial chapters, provides a complete overview enough features of SMIL that the reader will be in a position to modify existing SMIL presentations and create his or her own new ones once this material has been assimilated.It is noteworthy that in addition to the complete stand-alone presentations, the book contains numerous illustrative code fragments, many of which could be used as templates by the reader when creating her/his own scripts.In this regard, however, it is disappointing that the book does not include a CD ROM containing the examples and code fragments and a SMIL player.This is particularly so as the website to which the reader is referred for this purpose appears to lack the section containing the demos and code in the book!Some of these are on the website, but one has to dig deep to find them.Even so, the website will be of little help to the insomniac reader crossing the Atlantic, who wishes to pass the time by adapting one of the book's presentations.Parts Two and Three of the book provide a more structured, thorough treatment of basic and more advanced SMIL constructs.Once the multimedia author moves away from all but the simplest specifications, authoring becomes a far from simple task, and in all but its most
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,098 | 0,050 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».