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Many researches have been conducted on video abstraction for quick viewing of video archives, however there is a lack of approach that considers abstraction as a pre-processing stage in video analysis. This paper aims to investigate the efficiency of integrating video abstraction in surveillance video indexing and retrieval framework. The basic idea is to reduce the computational complexity and cost...
News videos store a huge amount of information and are a source of historical archives. The amount of news data is growing rapidly and unpredictably, hence video indexing on news videos is a tedious job. Manual indexing even though effective, it is slow and most expensive for a massive volume of data. Content Based Indexing and Retrieval (CBIR) is a solution for this problem. Textual modality based...
Motion vectors histogram (MVH) is an effective feature vector in video indexing and analysis applications. One of the challenges in the use of motion vector histogram is that it is not robust to video aspect ratio (AR). As a result, it is not suitable for comparing videos with different ARs. In this paper a feature vector based on motion vectors in H.264/AVC is introduced which is robust to variations...
The huge volume of videos produced by surveillance cameras has increased the demand for the fast and effective video surveillance indexing and retrieval systems. Although environmental condition such as light reflection, illumination changes, shadow, and occlusion can affect the indexing and retrieval result of any video surveillance system, nevertheless the use of reliable and robust object (blob)...
The use of unmanned aerial vehicles (UAVs) in civil aviation is growing up quickly, enabling new scenarios, especially in environmental monitoring and public surveillance services. So far, Earth observation has been carried out only through satellite images, which are limited in resolution and suffer from important barriers such as cloud occlusion. Microdrone solutions, providing video streaming capabilities,...
In this paper, we propose a novel video segment retrieval algorithm, which is based on the affine hulls [15]. As we all know, shot is the basic unit of retrieval, so we approximate each of the shots with an affine hull of the frames within it, after that each shot is represented by a mean vector and a series of basis vectors. Therefore, we can get the distances between the query frame and each of...
A novel hybrid human action detection method based on three descriptors is proposed. Firstly, the minimal 3D space region of human action region is detected by combining frame difference method and VIBE algorithm, and the threedimensional histogram of oriented gradient (HOG3D) is extracted. At the same time, the characteristics of three dimensional global descriptors based on frequency domain filtering...
In this paper, a method with a significantly reduced feature set is described which recognizes human actions from video sequences. The proposed method is based on the natural domain knowledge of the human figure such as proportions of the human body. The method is evaluated on two of the publicly available databases in the literature of activity recognition, the Weizmann and the UIUC databases. Results...
3D reconstruction is one of the long lasting research topics in computer vision. It is the task of regenerating a model in three-dimensional (3D) space by images taken from the scene. An image-based method for 3D reconstruction based on intersection of planar visual hulls from projective images taken by multiview videos is proposed. Reconstruction can be performed without any further information related...
This paper proposes a simple spatial feature combined with temporal characteristics to classify human interactions from surveillance cameras, which are far from the action scene. For the first stage, data is collected from a horizontal view. Then, the history of distance between two persons is stored during time as a temporal feature called distance signature. We use Spatio-Temporal Interest Points...
Harvesting the commercially significant lobster, Nephrops norvegicus, is a multimillion dollar industry in Europe. Stock assessment is essential for maintaining this activity but it is conducted by manually inspecting hours of underwater surveillance videos. To improve this tedious process, we propose an automated procedure. This procedure uses mosaics for detecting the Nephrops, which improves visibility...
Poster that represents a video has many applications in internet and media world. In this paper, a method is proposed to generate poster based on color feature and relevance feedback. Color feature is used because it is more closely to human perception and it is easy to extract, match and also effective for indexing. In our method as color feature of a frame in a video, HSV color space and Color Moment...
During the last decades a large set of video archives is created and rapidly multimedia growth creates new challenge in the image processing world. A reliable system is needed to automate the process of this large amount of data. Video analyses are done in two different levels, low level and high level. There are many problems in video content analysis and in this work we analyzed content based video...
In recent years, video communication has established its dominance in the communication world as it has become an integral part of our everyday life ranging from handheld device videos to broadcasted video news (from unstructured to highly structured). It is required to formalize video semantics for making users able to refine the relevant information and get what they need. A framework for dynamic...
Face analysis plays a vital role in building human computer Interaction. The aim of this work is to explore how to exploit the temporal information in a video progression for the task of face recognition using state of art methods. In this paper, firstly, the faces are detected from the Tamil movies which are captured under different environments and locations. In the next step, the well known feature...
Local Binary Pattern (LBP) is texture operator used in preprocessing for object detection, tracking, face recognition and fingerprint matching. Many of these applications are performed on embedded devices, which poses limitations on the implementation complexity and power consumption. As LBP features are computed pixelwise, high performance is required for real time extraction of LBP features from...
Maneuvering target tracking is a big challenge to the performance of a visual tracker. The paper proposes a method to keep the tracker robust to target maneuvering by selecting discriminative features from a large feature space, and constructing a velocity motion model with adaptive noise variance. Furthermore, the feature selection procedure is embedded into the particle filtering process with the...
This paper presents a novel method for accurate motion detection in dynamic scenes without any prior information about moving object or dynamic scenes. Moving object detection is mainly performed by segmentation of estimated optical flow field, which is calculated by classical Horn Schunck algorithm. Robust ego-motion estimation is performed prior to the optical flow segmentation, which largely decreases...
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
The ads exposure frequency in a TV is very important for the pricing of the advertising. If we count this exposure frequency by person, it will be very time consuming and error-prone. In this paper, we propose an approach and design a system for searching and counting the number of banner ads appearing in sports videos. The searching proceeds by matching feature points from pre-specified sample ads...
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