Seam carving for enhancing image usability on mobiles
نویسندگان
چکیده
In this paper we discuss a visual interface for presenting large images on small screen devices. We use the seam carving algorithm as an example technique to improve the readability of images, experimenting with it in various ways. We explain the results of a pilot study where we examined the use of seam carving algorithms on a small screen, making comparisons with simple other image processing methods. This is the first example of a visual interface which uses the seam carving algorithm for mobile devices. We discuss scenarios for the use of such techniques.
منابع مشابه
Improved Content Aware Image Retargeting Using Strip Partitioning
Based on rapid upsurge in the demand and usage of electronic media devices such as tablets, smart phones, laptops, personal computers, etc. and its different display specifications including the size and shapes, image retargeting became one of the key components of communication technology and internet. The existing techniques in image resizing cannot save the most valuable information of image...
متن کاملContent Aware Media Retargeting for still images using Seam Carving
ABSTRACT When changing height and width of image traditional techniques for image resizing are oblivious to the content of image. A simple operator seam carving is used for image and video retargeting. This seam carving operator is used for content aware image resizing to reduce or expand image size. According to seam carving method every object in the image must be scaled down proportionally. ...
متن کاملMulti-seam carving via seamlets
Seam carving is a powerful retargeting algorithm for mapping images to arbitrary sizes with arbitrary aspect ratios. Meanwhile, the seamlet transform has been introduced as an efficient image representation for seam-carving-based retargeting over heterogeneous multimedia devices with a broad range of display sizes. The original seamlet transform was developed using Haar filters, and hence it en...
متن کاملDetecting content adaptive scaling of images for forensic applications
Content-aware resizing methods have recently been developed, among which, seam-carving has achieved the most widespread use. Seam-carving’s versatility enables deliberate object removal and benign image resizing, in which perceptually important content is preserved. Both types of modifications compromise the utility and validity of the modified images as evidence in legal and journalistic appli...
متن کاملDetection of Seam-Carving Image Based on Benford's Law for Forensic Applications
Seam-Carving is widely used for content-aware image resizing. To cope with the digital image forgery caused by Seam-Carving, a new detecting algorithm based on Benford’s law is presented. The algorithm utilize the probabilities of the first digits of quantized DCT coefficients from individual AC modes to detect Seam-Carving images. The experimental result shows that the performance of proposed ...
متن کامل