VideoQ

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VideoQ is being developed within the ADVENT Project of the Image and Advanced TV Lab at Columbia University.

VideoQ expands the traditional search methods (e.g., keywords and subject navigation) with a novel search technique that allows users to search video based on a rich set of visual features and spatio-temporal relationships. Our objective is to investigate the full potential of visual cues in object-oriented content-based video search. Some of the unique features of VideoQ include:

Integrated text and visual search methods.

Automatic video object segmentation and tracking.

A rich visual feature library including color, texture, shape, and motion.

Spatio-temporal video object query (absolute and relative locations).

Compressed-domain video manipulation.

VideoQ currently supports a large database of digital videos. Individual videos are automatically segmented into separate shots. Currently, over 2000 shots are stored. Each shot is compressed and stored in three layers to meet different bandwidth requirements.

In addition to query by sketch, the user can browse the video shots or search video by text. The video shots are cataloged into a subject taxonomy, which the user can easily navigate. Each video shot has also been manually annotated so the user can perform simple text search of keywords.

Hot Shots Cool Cuts, Inc. and Action Sports Adventure, Inc., two leading commercial stock footage companies, have made available a wide sample of broadcast quality videos from their collections. A joint research project between Columbia University, Hot Shots Cool Cuts, Inc., and Action Sports Adventure, Inc. has been undertaken to evaluate new content-based video search tools in on-line video search applications. For more information about this joint research project, please contact Professor Shih-Fu Chang of Columbia University or Peter Humphrey of Hot Shots Cool Cuts, Inc. and Action Sports Adventure, Inc.

All technical inquiries related to the VideoQ software and systems may be directed to Professor Shih-Fu Chang. All licensing inquiries may be directed to Mr. Tony Mauriello of the Columbia Science and Technology Ventures

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