TRECVID (TREC Video Retrieval Evaluation) is sponsored by NIST to encourage research in digital video indexing and retrieval. It was initiated in 2001 as a “video track” of TREC and became an independent evaluation in 2003. AT&T participated in three tasks in TRECVID 2006: shot boundary determination (SBD), search, and rushes exploitation. The proposed SBD algorithm contains a set of finite sta...

We participated in the high-level feature extraction and interactive-search task for TRECVID 2006. Interaction and integration of multi-modality media types such as visual, audio and textual data in video are the essence of video content analysis. Although any uni-modality type partially expresses limited semantics less or more, video semantics are fully manifested only by interaction and integ...

This paper describes our work in query-based multi-document summarization task in DUC2006. We present the system overview, focusing on the newly developed techniques, including a new method of sentence similarity calculation, and application of anaphoric resolution to improve the readability of the summary. Evaluation results from NIST are also given and analyzed.

The characteristics of the ciQA Track namely the short templated queries and the scope for user interaction were the motivating factors for our interest in participating in the track. Templated queries represent a new paradigm of information-seeking more suited for specialized tasks. While work has been done in document retrieval for templated queries as part of the Global Autonomous Language E...

In the first part of this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2006. We submitted five fully automatic runs, including a text baseline, two runs based on visual features, and two runs that combine textual and visual features in a graph model. For the interactive search, we have implemented a new video search interface with relevance feedback...