Paper Info
Title
Bag of Genres for Video Retrieval.
Abstract
Often, videos are composed of multiple concepts or even genres. For instance, news videos may contain sports, action, nature, etc. Therefore, encoding the distribution of such concepts/genres in a compact and effective representation is a challenging task. In this sense, we propose the Bag of Genres representation, which is based on a visual dictionary defined by a genre classifier. Each visual word corresponds to a region in the classification space. The Bag of Genres video vector contains a summary of the activations of each genre in the video content. We evaluate the proposed method for video genre retrieval using the dataset of MediaEval Tagging Task of 2012 and for video event retrieval using the EVVE dataset. Results show that the proposed method achieves results comparable or superior to state-of-the-art methods, with the advantage of providing a much more compact representation than existing features.
Year
DOI
Venue
2016
10.1109/SIBGRAPI.2016.40
SIBGRAPI - Brazilian Symposium on Computer Graphics and Image Processing
Keywords
Field
DocType
video retrieval,video representation,visual dictionaries,semantics
Histogram,Information retrieval,Visualization,Computer science,Feature extraction,Classifier (linguistics),Visual dictionary,Semantics,Encoding (memory),Visual Word
Conference
ISSN
Citations 
PageRank 
1530-1834
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Leonardo A. Duarte100.34
Otávio A. B. Penatti239818.12
Jurandy Almeida343135.15