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» Using High-Level Semantic Features in Video Retrieval
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WWW
2010
ACM
15 years 2 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh
MTA
2007
133views more  MTA 2007»
14 years 9 months ago
Compressed domain video retrieval using object and global motion descriptors
Video content description has become an important task with the standardization effort of MPEG-7, which aims at easy and efficient access to visual information. In this paper we ...
R. Venkatesh Babu, K. R. Ramakrishnan
SPIESR
1998
195views Database» more  SPIESR 1998»
14 years 11 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
MM
2006
ACM
175views Multimedia» more  MM 2006»
15 years 3 months ago
The challenge problem for automated detection of 101 semantic concepts in multimedia
We introduce the challenge problem for generic video indexing to gain insight in intermediate steps that affect performance of multimedia analysis methods, while at the same time...
Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Ma...
ICIP
2008
IEEE
15 years 11 months ago
Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...