With the rapid increase in online video services, multimedia retrieval systems are becoming increasingly important search tools to users in many different fields. In this paper we present a novel retr...
With the rapid growth of multimedia data, it becomes increasingly important to develop semantic concept modeling approaches that are consistently effective, highly efficient, and easily scalable. To t...
We propose a new interactive image and video retrieval system called multi-query interactive retrieval, which is designed to jointly optimize the retrieval performance on multiple query topics. The pr...
We present methods for semantic annotation of multimedia data. The goal is to detect semantic attributes (also referred to as concepts) in clips of video via analysis of a single keyframe or set of fr...
We present methods for semantic annotation of multimedia data. The goal is to detect semantic attributes (also referred to as concepts) in clips of video via analysis of a single keyframe or set of fr...
We present a model for exploiting community-based usage information for video retrieval, where implicit usage information from past users is exploited in order to provide enhanced assistance in video ...
Use of test collections and evaluation measures to assess the effectiveness of information retrieval systems has its origins in work dating back to the early 1950s. Across the nearly 60 years since th...
This paper studies the combination of textual and visual information in a database of medical records in order to improve the performance of the multi-modal information retrieval system. The proposed ...
This paper investigates new approaches to improve the efficiency of manual image annotation and help users to produce better annotation results in a given amount of time. Although important in practic...
This paper describes an efficient system for scalable video summarization that exploits comic-like summaries and multi-scale representations to facilitate interactivity and balance between content cov...
This letter presents an algorithm for detecting cross-fade scene changes in video carrying 3:2 or mixed film cadence. There are many existing methods for detecting gradual video transitions, but none ...
This article proposes formal models for two commonly used methods - tagging and browsing - and investigates new approaches to improve the efficiency of manual image annotation.
This article has provided a brief overview of how the marriage of speech and language technologies with the Web is changing the way people communicate and access information. Advances are happening at...
The rapidly increasing proliferation of digital images and videos leads to a situation where content-based search in multimedia databases becomes more and more important. A prerequisite for effective ...
The problem of content-based video retrieval continues to pose a challenge to the research community, the performance of video retrieval systems being low due to the semantic gap. In this paper we con...
The problem of content-based video retrieval continues to pose a challenge to the research community, the performance of video retrieval systems being low due to the semantic gap. In this paper we con...
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined visual concepts are tr...
The TREC Video Retrieval Evaluation (TRECVID) 2011 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital vide...
The TREC Video Retrieval Evaluation (TRECVID) 2009 was a TREC-style video analysis and retrieval evaluation, the goal of which was to promote progress in content-based exploitation of digital video vi...
The TREC Video Retrieval Evaluation (TRECVID) 2007 represents the seventh running of a TREC-style (trec.nist.gov) video retrieval evaluation, the goal of which remains to promote progress in content-b...