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Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little discussed. In this pape...
This work aims at developing a scalable vision-based location recognition system where the backend database can be updated incrementally. Our proposed framework enables incremental indexing of vocabul...
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dim...
Practical face recognition systems are sometimes confronted with low-resolution face images. Traditional two-step methods solve this problem through employing super-resolution (SR). However, these me...
In this paper, we propose a state-dependent tied mixture (SDTM) models with variable codebook size to improve the model robustness for accented p honetic variations while maintaining model discrimina...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer independent SLR. In this pa...
For broadcast sports video, score information is an effective mid-level representation to facilitate high-level video content analysis. In this paper, we propose a real-time approach to detect score ...
Recently the “bag of words” model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called “visual words”, and recognize object...
Motion analysis in broadcast sports video is a challenging problem especially for player action recognition due to the low resolution of players in the frames. In this paper, we present a novel approa...
This paper proposes a novel simple yet effective generative model based on Local Visual Primitives (LVP) for face modeling and classification. The LVPs,as the pattern of local face region, are learnt ...
Motion analysis in broadcast sports video is a challenging problem especially for player action recognition due to the low resolution of players in the frames.This paper presents a novel approach to r...
Viewpoint variance is one of the inevitable problems in vision based sign language recognition.However, most researchers avoid this problem by assuming a special view, especially the front view. In th...
Recognition of player actions in broadcast sports video is a challenging task due to low resolution of the players in video frames. In this paper, we present a novel method to recognize the basic play...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...

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