A smart automatic thumbnail cropping based on attention driven regions of interest extraction

Amrutha, I. S.; Shylaja, S S; Natarajan, S.; Murthy, K. N. Balasubramanya

doi:10.1145/1655925.1656099

Cited by 20 publications

(10 citation statements)

References 10 publications

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“…Other image types are first checked for face using face detector application, if no face is detected it is cropped using saliency map.Stentiford [16] propose cropping an image based on the using saliency map calculated based on similarities between neighboring pixels in an image. Amrutha et al [1] suggest the best cropping region for image based on region of interest derived from combining Itti's and Standfordmodels.…”

Section: B Adaptive Techniquesmentioning

confidence: 99%

A Review: Image Interpolation Techniques for Image Scaling

Parsania¹,

Kumar²

2014

IJIRCCE

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ABSTRACT:The growing interest in image scaling is mainly due to the availability of digital imaging devices such as, digital cameras, digital camcorders, 3G mobile handsets, high definition monitors etc. Scaling a digital image is a demanding and very important area of research. Image scaling is an important image processing operation applied in diverse areas in computer graphics. Image scaling can be especially useful when one needs to reduce image file size for email and web documents or increase image size for printing, GIS observation, medical diagnostic etc. With the recent advances in imaging technology, digital images have become an important component of media distribution. In addition, a variety of displays can be used for image viewing, ranging fromhigh-resolution computer monitors to TV screens and low-resolution mobile devices.This paper is focused on different image scaling techniqueswith intent that review to be useful to researchers and practitioners interested in image Scaling.

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Section: B Adaptive Techniquesmentioning

confidence: 99%

A Review: Image Interpolation Techniques for Image Scaling

Parsania¹,

Kumar²

2014

IJIRCCE

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“…Several studies have improved picture thumbnails [1] [7]. Amrutha et al [1]proposed an intelligent automatic cropping technique for pictures, prior to shrinking them, based on Regions of Interest (ROIs).…”

Section: Related Workmentioning

confidence: 99%

“…Amrutha et al [1]proposed an intelligent automatic cropping technique for pictures, prior to shrinking them, based on Regions of Interest (ROIs). Their experiments showed that the thumbnails resulting from the proposed technique will efficiently increase the context-based image retrieval (CBIR) performance.…”

Section: Related Workmentioning

confidence: 99%

Legible thumbnail

Asai

Ueda

Yamana

2011

Proceedings of the 13th International Conference on Human Computer Interaction With Mobile Devices and Services

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In recent years, digital notebooks have been replacing traditional paper-based notebooks with the development of handwriting input devices. Currently, we can access digital notebooks in various devices, including mobile devices. When we use such mobile devices, however, their limited screen size results in difficulty in understanding the summary of hand-written documents, without the use of a zoom feature. In this paper, we therefore propose the "Legible Thumbnail" that helps us to understand the summary without zooming. Our method detects the important words based on emphasis, such as an underline, and the method outputs the emphasized words to the thumbnail. Experiments show our thumbnail reduces search time by 21%.

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“…The re-targeting method proposed by Zhang et al [12] is an automatic cropping method. Another cropping based re-targeting method was proposed by Amrutha et al [1] by obtaining the region of interests. There are also re-targeting methods considering saliency map of images.…”

Section: Introductionmentioning

confidence: 99%

Re-targeting of multi-script document images for handheld devices

Dey

Mukhopadhyay

Sural

et al. 2013

Proceedings of the 4th International Workshop on Multilingual OCR

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We propose here a technique for transforming the layout of a printed document image to a new user-conducive layout. Its objective is to effectuate better display in a lowresolution screen for providing comfort and convenience to a viewer while reading. The task of re-targeting starts with analyzing the document image in the spatial domain for identifying its paragraphs. Text lines, words, characters, and hyphenations are then recognized from each paragraph, and necessary word stitching is performed to reproduce the paragraph, as appropriate to the resolution of the display device. Test results and related subjective evaluation for different datasets, especially the pages scanned from some Bengali and English magazines, demonstrate the strength and effectiveness of the proposed technique.

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A smart automatic thumbnail cropping based on attention driven regions of interest extraction

Cited by 20 publications

References 10 publications

A Review: Image Interpolation Techniques for Image Scaling

A Review: Image Interpolation Techniques for Image Scaling

Legible thumbnail

Re-targeting of multi-script document images for handheld devices

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