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CIVR
2005
Springer
147views Image Analysis» more  CIVR 2005»
14 years 3 months ago
A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
Kieran McDonald, Alan F. Smeaton
CIVR
2005
Springer
160views Image Analysis» more  CIVR 2005»
14 years 3 months ago
Story Segmentation in News Videos Using Visual and Text Cues
Abstract. In this paper, we present a framework for segmenting the news programs into different story topics. The proposed method utilizes both visual and text information of the v...
Yun Zhai, Alper Yilmaz, Mubarak Shah
CIVR
2005
Springer
165views Image Analysis» more  CIVR 2005»
13 years 11 months ago
The Use and Utility of High-Level Semantic Features in Video Retrieval
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Michael G. Christel, Alexander G. Hauptmann
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
14 years 4 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
CIVR
2007
Springer
115views Image Analysis» more  CIVR 2007»
14 years 3 months ago
A reranking approach for context-based concept fusion in video indexing and retrieval
We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes ...
Lyndon S. Kennedy, Shih-Fu Chang