Fast content access and retrieval of JPEG compressed images

Mehrabi, Mahdi; Zargari, Farzad; Ghanbari, M.; Shayegan, Mohammad Amin

doi:10.1016/j.image.2016.05.005

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…The MVs are scaled by using DRatio parameter. DRatio parameter is defined as DRatio = F_width F_height (6) where F_width and F_height are the width and the height of P frame, respectively. Each MV in P is scaled by DRatio as…”

Section: Modification Based On Drmentioning

confidence: 99%

“…Compressed domain feature vector extraction avoids the extra time and computational power which is required for decompression of coded video or image. There are several proposed methods in [2][3][4][5][6] for extraction of spatial features in the compressed domain. Motion vectors (MVs) can be directly extracted in the compressed domain from videos coded by standard video codecs such as MPEG and H.26X families.…”

Section: Introductionmentioning

confidence: 99%

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Improving the robustness of motion vector temporal descriptor

Rahmani

Zargari

Ghanbari

2018

IET Image Processing

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Section: Modification Based On Drmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving the robustness of motion vector temporal descriptor

Rahmani

Zargari

Ghanbari

2018

IET Image Processing

Self Cite

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“…It was also taken into account that JPEG algorithm is not ideal for web based presentations due to its compression limits. This fact leads to an other research, which attempts to provide better compression algorithms (Mehrabi, 2016). …”

Section: Creating a Database Of Peonies And Its Use For Teaching It Cmentioning

confidence: 99%

Creating a Database of Peonies and Its Use for Teaching IT Courses

Havlicek

Lohr

Junek

et al. 2017

AOL

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The aim of this paper is to describe one of the possible ways of making IT courses more interesting through collecting practical field data and a subsequent creation of databases. Since the establishment of a specialized peony garden near Prague in 2008, details of the origin of acquired plants and of their cultivation under local conditions have been continuously recorded. The data resulting from the peony research are used as support for our IT courses. They are used in practical modelling of a relational database and in creating student projects focused on responsive web designs. The peonies data make the IT courses more attractive and stimulating for students.Literature survey of the peony research publications and our own data obtained from the peony garden revealed some of the main problems in cultivating and identification of peonies. Herbaceous peonies are widespread perennials. Mostly "historical" varieties of Paeonia lactiflora are cultivated. However, these plants have long and weak stems, which are bent down by heavy flowers and must therefore be mechanically held up by stakes or support rings. By contrast, the new cultivars have solid stems, such as the hybrid herbaceous peonies and intersectional hybrids (Itoh hybrids) and do not require as much labour but are not commonly cultivated. Our research has discovered that most peony cultivars in home gardens have not been properly identified. Great emphasis has, therefore, been placed on the correct identification of peony cultivars.

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“…The growth of the video data has increased exponentially in the last few decades. However, effective use of these video resources is adversely influenced by lack of viable systems that can facilitate systematic organisation, video database navigation and retrieval of information of interest [1–3]. One way to achieve this is by manual indexing through sequential scan, which is extremely cumbersome and highly unreliable.…”

Section: Introductionmentioning

confidence: 99%

Motion and illumination defiant cut detection based on Weber features

Kar

Kanungo²

2018

IET image process

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The spontaneous proliferation of video data necessitates implementing hierarchical structures for various content management applications. Temporal video segmentation is the key towards such management. To address the problem of temporal segmentation, the current communication exploits the concept of psychological behaviour of the human visual system. Towards this goal an abrupt cut detection scheme has been proposed based on Weber's law which provides a strong spatial correlation among the neighbouring pixels. Thus, the authors provide a robust and unique solution for abrupt shot boundary detection when the frames are affected partially or fully by flashlight, fire and flicker, high motion associated with an object or camera. Further, they have devised a model for generating an automatic threshold, taking into account the statistics of the feature vector which quadrates itself with the variation in the contents of the video. The effectiveness of the proposed framework is validated by exhaustive comparison with few contemporary and recent approaches by using benchmark datasets TRECVID 2001, TRECVID 2002, TRECVID 2007 and some publicly available videos. The results obtained give credence to the remarkable improvement in the performance while preserving a good trade‐off between missed hits and false hits as compared to the state‐of‐the‐art methods.

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Fast content access and retrieval of JPEG compressed images

Cited by 5 publications

References 30 publications

Improving the robustness of motion vector temporal descriptor

Improving the robustness of motion vector temporal descriptor

Creating a Database of Peonies and Its Use for Teaching IT Courses

Motion and illumination defiant cut detection based on Weber features

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