Content Based Video Retrieval Based on HDWT and Sparse Representation

Mohamadzadeh, Sajad; Farsi, Hassan

doi:10.5566/ias.1346

Cited by 13 publications

(7 citation statements)

References 44 publications

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“…Query by objects is also one of the popular ways of searching the video. In this approach, user inputs object's picture or image as query [33]. In Query by objects method, the system searches the collection of videos based on similarity measures and list out all occurrences of the object of interest from the video collection [20].…”

Section: Literature Reviewmentioning

confidence: 99%

News Story Retrieval Based on Textual Query

Dave¹,

Holia²

2020

IJEAT

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This paper presents news video retrieval using text query for Gujarati language news videos. Due to the fact that Broadcasted Video in India is lacking in metadata information such as closed captioning, transcriptions etc., retrieval of videos based on text data is trivial task for most of the Indian language video. To retrieve specific story based on text query in regional language is the key idea behind our approach. Broadcast video is segmented to get shots representing small news stories. To represent each shot efficiently, key frame extraction using singular value decomposition and rank of matrix is proposed. Text is extracted from keyframes for further indexing data. Next task is to process text using natural language processing steps like tokenization, punctuation and extra symbols removal as well as stemming of words to root words etc. Due to unavailability of stemming and other methods of preprocessing of text in Guajarati language, we have given basic stemming technique to reduce dictionary size for efficient indexing of text data. With proposed system 82.5 percent accuracy is achieved on Gujarati news video dataset ETV.

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Section: Literature Reviewmentioning

confidence: 99%

News Story Retrieval Based on Textual Query

Dave¹,

Holia²

2020

IJEAT

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“…Combined features improve performance at the cost of increasing complexity; to overcome the defects of fusion with the increase of accuracy detector, a form of independence is required from the features. To achieve independence there are two approaches for features fusion, the first approach is unimodal features, where the features are extracted from a single modality for example from visual features only [36].The second approach is multimodal features where features are extracted from multiple modalities, for example, the audio and the visual content [37].…”

Section: Feature Fusionmentioning

confidence: 99%

Semantic Based Video Retrieval System: Survey

Abdulmunem

Hato

2018

ijs

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In this review paper a number of studies and researches are surveyed, in order to assist the upcoming researchers, to know about the techniques available in the field of semantic based video retrieval. The video retrieval system is used for finding the users' desired video among a huge number of available videos on the Internet or database. This paper gives a general discussion on the overall process of the semantic video retrieval phases. In addition to its present a generic review of techniques that has been proposed to solve the semantic gap as the major scientific problem in semantic based video retrieval. The semantic gap is formed because of the difference between the low level features that are extracted from video content and user's perceptions of these features in a real world. The transformation of low level features of the video content into meaningful semantic concepts is a research topic that has received considerable attention in recent years.

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“…The local and global color, texture, and motion features of the video are extracted as features of key frames. The applicability of the proposed technique was superior compared to the other methods however the use of video query instead of frame query may further improve the proposed method (Mohamadzadeh and Farsi, 2016).…”

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confidence: 93%

Research Highlights in Ias

Kreft

2017

Image Anal Stereol

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We are reviewing and commenting highlights of the research published in Image Analysis and Stereology journal (IAS), volume 35, where 16 original research papers on image analysis, computer vision, modelling, and other approaches were published. We have reported on the precision of curve length estimation in the plane. Further, a focus was on a robust estimation technique for 3D point cloud registration. Next contribution in computer vision was on the accuracy of stereo matching algorithm based on illumination control. An attempt was also made to automatically diagnose prenatal cleft lip with representative key points and identify the type of defect in three-dimensional ultrasonography. Similarly, a new report is presenting estimation of torsion of digital curves in 3D images and next, the nuchal translucency by ultrasound is being analyzed. Also in ophthalmology, image analysis may help physicians to establish a correct diagnosis, which is supported by a new approach to measure tortuosity of retinal vessel. Another report of medical significance analyzed correlation of the shape parameters for characterization of images of corneal endothelium cells. Shape analysis is also an important topic in material science, e.g. in analyzing fine aggregates in concrete. As in concrete, in fiber reinforced composites image analysis may aid in improved quality, where the direction of fibers have decisive impact on properties. Automatic defect detection using a computer vision system improves productivity quality in industrial production, hence we report of a new Haar wavelet-based approach.Keywords: computer vision, image analysis, process modelling, stereologyIn the first issue of the volume 35 in 2016 we reported on the precision of curve length estimation in the plane. The study was based on the intersection counting with a square grid, called the BuffonSteinhaus estimator. This is relatively straightforward, design unbiased and efficient approach. The outstanding task was the prediction of its error variance from a single grid superimposition. Authors considered nine curvilinear features -that is flattened DNA molecule projections. Authors explain that the performance of their variance prediction formula is well suited for practical use (Gomez et al., 2016).Further, a focus was on a robust estimation technique for 3D point cloud registration. Usually, the 3D vision applications require a complete or registered 3D image of the object. The automatic pairwise coarse alignment of partially overlapping 3D images is performed. We reported on a novel algorithm for the 3D registration task which is faster and more accurate than the usual RANSAC (Random Sample Consensus) algorithm (Pankaj and Nidamanuri, 2016). Next contribution in computer vision was on the accuracy of stereo matching algorithm based on illumination control. It is a new method of pixel based stereo matching algorithm. The standard algorithm for absolute difference is fast but lacs precision at low texture areas and is sensitive to radiometric distortions....

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Content Based Video Retrieval Based on HDWT and Sparse Representation

Cited by 13 publications

References 44 publications

News Story Retrieval Based on Textual Query

News Story Retrieval Based on Textual Query

Semantic Based Video Retrieval System: Survey

Research Highlights in Ias

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