With the huge and ever rising amount of video content available on the Web, there is a need to facilitate video retrieval functionalities on very large collections. Most of the current Web video retri...

We propose a video copy detection framework that detects copy segments by fusing the results of three different techniques: facial shot matching, activity subsequence matching, and non-facial shot mat...

We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize Support Vector Machin...

Video shot boundary detection (SBD) is the first step of video analysis, summarization, indexing, and retrieval. In SBD process, videos are segmented into basic units called shots. In this paper, a ne...

Video fingerprinting is een bewezen en commercieel verkrijgbare techniek die ingezet kan worden om kopieen van of videomateriaal op te sporen. Video fingerprinting vergelijkt digitale video’s met elka...

This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram patterns by Markov chai...

This paper presents a video analysis approach based on concept detection and keyframe extraction employing a visual thesaurus representation. Color and texture descriptors are extracted from coarse re...

This paper presents a novel learning-based method, called ldquomulti-layer multi-instance (MLMI) learning,rdquo for video concept detection. Most of existing methods have treated video as a flat data ...

This paper presents a new algorithm for detection of abrupt shot changes in video sequence based on Multifractal Analysis (MA). Video sequence is decoded into series of frames, and low level feature f...

This paper focuses on the comparison between two fusion methods, namely early fusion and late fusion. The former fusion is carried out at kernel level, also known as multiple kernel learning, and in t...

This paper describes BUPT-MCPRL systems for TRECVID 2009. We performed experiments in automatic search, HLF extraction, copy detection and event detection tasks. A. Automatic search

The temporal segmentation of a video into shots is a fundamental prerequisite for video retrieval. There are two types of shot boundaries: abrupt shot changes (“cuts”) and gradual transitions. Several...

The method based on Bag-of-visual-Words (BoW) deriving from local keypoints has recently appeared promising for video annotation. Spatial partition scheme has critical impact to the performance of BoW...

The fundamental step in video content analysis is the temporal segmentation of video stream into shots, which is known as Shot Boundary Detection (SBD). The sudden transition from one shot to another ...

The first and foremost step in the shot boundary detection is the extraction of features from the video sequences. To obtain better performance in shot boundary detection, a new method is proposed in ...

Technique advances have made image capture and storage very convenient, which results in an explosion of the amount of visual information. It becomes difficult to find useful information from these tr...

Recent work in visual retrieval shows that bag-of-features (BoF) has appeared promising for object recognition and categorization. Local descriptors such as SIFT have shown impressive results on objec...

Now with a large lexicon of over 300 semantic concepts available for indexing purpose, video retrieval can be made easier by leveraging on the available semantic indices. However, any successful conce...

Multi-label image/video annotation is a challenging task that allows to correlate more than one high-level semantic keyword with an image/video-clip. Previously, a single model is usually used for the...

Local binary pattern histogram (LBPH) is one of the popular and excellent image texture descriptor. However, conventional LBPH lacks of the description of spatial structure information. This paper pro...