O'Reilly logo

Mobile Intelligence by Bala Srinivasan, Ling Tan, Jianhua Ma, Agustinus Borgy Waluyo, Laurence T. Yang

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

21.4 VIDEO DATABASE MODELING

A key component in this proposed study is the video database modeling mechanism called HMMM, which is deployed to bridge the semantic gap between the low-level video features and high-level concepts, to represent video temporal characteristics for event pattern queries, and to incorporate user preferences via feedback and learning strategies.

21.4.1 Markov Model Mediator

In essence, HMMM is developed based on Markov model mediator (MMM), a well-established mathematical model proposed in our earlier work [27]. MMM is represented by a five-tuple image, where image is a set of media objects called states, image denotes the feature set, image indicates the affinity relationships among media objects, image represents the low-level feature values of media objects, and π indicates the likelihood of a media object being selected as the query. Here, a media object may refer to an image, a salient object, a video shot, and so on, depending on the modeling perspective and the data source. In addition, ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required