By Jian Kang Wu, Mohan S. Kankanhalli, Joo-Hwee Lim, Dezhong Hong
Multimedia info comprising of pictures, audio and video is turning into more and more universal. The reducing bills of patron digital units reminiscent of electronic cameras and electronic camcorders, in addition to the convenience of transportation facilitated via the web, has bring about a ravishing upward thrust within the quantity of multimedia facts generated and allotted. provided that this development of elevated use of multimedia facts is probably going to speed up, there's an pressing desire for offering a transparent technique of taking pictures, storing, indexing, retrieving, interpreting and summarizing such facts.
Content-based entry to multimedia info is of basic value because it is the normal means in which people engage with such details. To facilitate the content-based entry of multimedia details, step one is to derive function measures from those info in order that a function area illustration of the knowledge content material could be shaped. this may in this case let for mapping the characteristic area to the logo area (semantics) both instantly or via human intervention. therefore, sign to image mapping, helpful for any functional procedure, could be effectively accomplished.
Perspectives on Content-Based Multimedia Systems presents a finished set of concepts to take on those very important matters. This publication bargains distinctive suggestions to a variety of useful difficulties in development actual structures by means of delivering specifics of 3 platforms outfitted by means of the authors. whereas offering a structures concentration, it additionally equips the reader with a willing knowing of the elemental matters, together with a formalism for content-based multimedia database structures, multimedia function extraction, object-based suggestions, signature-based ideas and fuzzy retrieval thoughts. The functionality review problems with sensible platforms is usually defined. This e-book brings jointly crucial parts of establishing a content-based multimedia database procedure in a fashion that makes them available to practitioners in desktop technological know-how and electric engineering. it will possibly additionally function a textbook for graduate-level courses.
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Additional resources for Perspectives on Content-Based Multimedia Systems
There are two types of associations: auto-association and hetero-association. Auto-association is defined when a piece of information is associated with itself in the process of its storage. In the retrieval phase, one can recall the information through a partial or lower resolution version of the original information. With hetero-association, a piece of information is associated with another piece of information. These two pieces of information can have relationships such as having similar (or opposite) meaning/appearance and being closely related.
The aim here is to learn user’s perception of similarity matching from this sequence. The intention is that the system will be able to produce a new retrieval sequence that is closer to user’s perception of similarity matching for query refinement. That is, the new mis-rank and loss function will be reduced. The probable consequence is that objects considered similar by the user but not retreived previously are now retrieved or ordered more to the front of the retrieved sequence and objects considered dissimilar by the user but retreived previously are now not retrieved or ordered more to the rear of the retrieved sequence.
For simplicity, let us just consider one feature and its measures, and omit the superscript: F1, F2, .... Here, Fi is one type of feature measures for a feature. For example, the size of eyes can be a measure of the feature “eye”, and color and orientation can be the other two. Each type of feature measure forms a feature vector which consists of several components: Fi = (fi1, fi2, ... 3) where hi is the similarity function for feature measure Fi, and g is the overall similarity measure. f s stands for feature measures of the sample query object s presented to the database to retrieve similar objects from the database.