𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A Survey on the Automatic Indexing of Video Data,

✍ Scribed by R. Brunelli; O. Mich; C.M. Modena


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
403 KB
Volume
10
Category
Article
ISSN
1047-3203

No coin nor oath required. For personal study only.

✦ Synopsis


Today a considerable amount of video data in multimedia databases requires sophisticated indices for its effective use. Manual indexing is the most effective method to do this, but it is also the slowest and the most expensive. Automated methods have then to be developed. This paper surveys several approaches and algorithms that have been recently proposed to automatically structure audio-visual data, both for annotation and access.


πŸ“œ SIMILAR VOLUMES


A Survey of Technologies for Parsing and
✍ Gulrukh Ahanger; Thomas D.C. Little πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 539 KB

trieve data. Since the potential for applications like live broadcast, video-on-demand, and digital libraries is enor- In the future we envision systems that will provide video information delivery services to customers on a very large scale. mous, the challenges presented by these applications, Th

Scene similarity measure for video conte
✍ Petra KrΓ€mer; Jenny Benois-Pineau; Jean-Philippe Domenger πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 208 KB

This article presents a scene similarity measure for video content segmentation. In the context of the rough indexing paradigm, we extract only partial information from MPEG compressed streams to measure the similarity of video frames through time. The similarity measure of I-Frames is defined based

Video summarisation: A conceptual framew
✍ Arthur G. Money; Harry Agius πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 574 KB

Video summaries provide condensed and succinct representations of the content of a video stream through a combination of still images, video segments, graphical representations and textual descriptors. This paper presents a conceptual framework for video summarisation derived from the research liter