REUSE OF VIDEO ANNOTATIONS BASED ON LOW-LEVEL DESCRIPTOR SIMILARITY

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Cordeiro, M (Author) Other; Cristina Ribeiro (Author) FEUP; Mário Cordeiro (Author) FEUP

Conference proceedings International

Title: 2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES

Pages: 193-196

10th International Workshop on Image Analysis for Multimedia Interactive Services

London, ENGLAND, MAY 06-08, 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-003-SHS

DOI: 10.1109/wiamis.2009.5031466

Abstract (EN): The paper proposes a mixed annotation approach that exploits the advantages of both automatic and manual annotation techniques. Annotated multimedia material is regarded as a source of low- to high-level feature mappings supporting the propagation of annotations to new multimedia material. Video analysis tools do not currently produce effective annotations for retrieval, while manual annotation is expensive. The proposed approach uses low-level feature similarity to guide the retrieval of keyword annotations and aims to preserve the high quality of manual annotations while reducing the time and cost per annotated video unit. The annotation tool assists users, suggesting keywords for an item that come from similar items according to low-level descriptors. The effectiveness of current descriptors has been evaluated in an experimental environment using 5 video collections and a set of MPEG-7 descriptors. The similarity results have been compared to manually evaluated similarity.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4