As digital video databases become more and more pervasive, finding video in large databases becomes a major problem. Because of the nature of video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. Enabling intelligent means of video retrieval and rapid video viewing through the processing, analysis, and interpretation of visual content are, t...

Multimedia content continues to grow rapidly. To ensure access to growing video collections, semantic indexing of images and videos has become a very important issue for data access, retrieval and actual application. For developing and evaluating semantic concepts searching annotation techniques, it is necessary to predefine a large lexicon, construction of a large benchmark data set, and annot...

An enriched video metadata framework including video authorization using VAST, metadata integration, and user level applications is presented. The Video Annotation and Summarization Tool (VAST) is a novel video metadata authorization system that integrates both semantic and visual metadata. Balance between accuracy and efficiency is achieved by adopting a semi-automatic authorization approach. ...

We present MatchNMingle, a novel multimodal/multisensor dataset for the analysis of free-standing conversational groups and speed-dates in-the-wild. MatchNMingle leverages use wearable devices overhead cameras to record social interactions 92 people during real-life speed-dates, followed by cocktail party. To our knowledge, has largest number participants, longest recording time set manual anno...

As the use of instructional video is becoming a key component of e-learning, there is an increasing need for a distributed system which supports collaborative video annotation and organization. In this chapter, the authors construct a distributed environment on the top of NaradaBrokering to support collaborative operations on video material when users are located in different places. The concep...

The concept of quality layers (QLs) has been adopted in the scalable video coding standard to enable optimal rate adaptation of precoded video in the rate-distortion sense. QLs were previously extended to stereo and multiple-view scalable video for efficient transport of 3DTV over the Internet. However, it is not possible to use the QL method in applications that require real-time encoding sinc...

As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown. . . ) attracting most attention. By building on the recent “zeroshot learning” approach, and paying attention to the linguistic nature of attributes as noun modifiers, and specifically adjectives, we show that it is possible to tag ima...