HIGH-LEVEL FEATURE EXTRACTION AND RUSHES EXPLOITATION (2008)
Xian-sheng Hua, Tao Mei, Wei Lai, Meng Wang, Jinhui Tang, Guo-jun Qi, ...
In this paper, we describe the MSRA experiments for TRECVID 2006, including details of the approaches and performance analyses for high-level feature extraction task and rushes exploitation task. For...
MSRA-USTC-SJTU AT TRECVID 2007: HIGH-LEVEL FEATURE EXTRACTION AND SEARCH (2008)
Tao Mei, Xian-sheng Hua, Wei Lai, Linjun Yang, Zheng-jun Zha, Yuan Liu, ...
This paper describes the MSRA-USTC-SJTU experiments for TRECVID 2007. We performed the experiments in high-level feature extraction and automatic search tasks. For high-level feature extraction, we...
ABSTRACT Multi-Layer Multi-Instance Kernel for Video Concept Detection ∗ (2008)
Zhiwei Gu, Xian-sheng Hua, Jinhui Tang, Xiuqing Wu
In video concept detection, most existing methods have not well studied the intrinsic hierarchical structure of video content. However, unlike flat attribute-value data used in many existing methods,...
To Construct Optimal Training Set For Video Annotation ABSTRACT (2008)
Jinhui Tang, Yan Song, Xian-sheng Hua, Tao Mei, Xiuqing Wu
This paper exploits the criteria to optimize the training set construction for video annotation. Most existing learningbased semantic annotation approaches require a large training set to achieve...
ABSTRACT Correlative Multi-Label Video Annotation (2008)
Guo-jun Qi, Jinhui Tang, Tao Mei
Automatically annotating concepts for video is a key to semantic-level video browsing, search and navigation. The research on this topic evolved through two paradigms. The first paradigm used binary...
MILC 2: A Multi-Layer Multi-Instance Learning Approach to Video Concept Detection ⋆ (2008)
Zhiwei Gu, Tao Mei, Jinhui Tang, Xiuqing Wu, Xian-sheng Hua
Abstract. Video is a kind of structured data with multi-layer (ML) information, e.g., a shot is consisted of three layers including shot, keyframe, and region. Moreover, multi-instance (MI) relation...
ABSTRACT Structure-Sensitive Manifold Ranking for Video Concept Detection (2008)
Jinhui Tang, Xian-sheng Hua, Meng Wang, Tao Mei, Guo-jun Qi, Xiuqing Wu
Pairwise similarity of samples is an essential factor in graph propagation based semi-supervised learning methods. Usually it is estimated based on Euclidean distance. However, the structural...
Optimizing Training Set Construction for Video Semantic Classification (2008)
Jinhui Tang, Xian-Sheng Hua, Yan Song, Tao Mei, Xiuqing Wu
We exploit the criteria to optimize training set construction for the large-scale video semantic classification. Due to the large gap between low-level features and higher-level semantics, as well as...
Optimizing Training Set Construction for Video Semantic Classification (2007)
Jinhui Tang, Xian-Sheng Hua, Yan Song, Tao Mei, Xiuqing Wu
We exploit the criteria to optimize training set construction for the large-scale video semantic classification. Due to the large gap between low-level features and higher-level semantics, as well as...
Concurrent multiple instance learning for image categorization (2007)
Guo-jun Qi, Xian-sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, Hong-jiang Zhang
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be independent with...