CAPTAIN: Comprehensive Composition Assistance for Photo Taking

نویسندگان

چکیده

Many people are interested in taking astonishing photos and sharing them with others. Emerging high-tech hardware software facilitate the ubiquitousness functionality of digital photography. Because composition matters photography, researchers have leveraged some common techniques, such as rule thirds perspective-related providing photo-taking assistance. However, techniques developed by professionals far more diverse than well-documented can cover. We present a new approach to leverage underexplored photography ideas, which virtually unlimited, diverse, correlated. propose comprehensive fork-join framework, named CAPTAIN ( C omposition A ssistance for P hoto Ta k g), guide photographer variety ideas. The framework consists few components: integrated object detection, photo genre classification, artistic pose clustering, personalized aesthetics-aware image retrieval. is backed large managed dataset crawled from Website ideas enthusiasts professionals. work proposes steps decompose given amateurish shot into ingredients compose bring list useful related addresses personal preferences presenting user-specified preference conducted many experiments on newly proposed components reported findings. user study demonstrates that those photos.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Intelligent Portrait Composition Assistance

Retrieving photography ideas corresponding to a given location facilitates the usage of smart cameras, where there is a high interest among amateurs and enthusiasts to take astonishing photos at anytime and in any location. Existing research captures some aesthetic techniques and retrieves useful feedbacks based on one technique. However, they are restricted to a particular technique and the re...

متن کامل

Optimizing Photo Composition

Aesthetic images evoke an emotional response that transcends mere visual appreciation. In this work we develop a novel computational means for evaluating the composition aesthetics of a given image based on measuring several well-grounded composition guidelines. A compound operator of crop-and-retarget is employed to change the relative position of salient regions in the image and thus to modif...

متن کامل

Household Composition and Housing Assistance

The living arrangements of public assistance recipients have been a concern of policymakers and researchers alike. Although the effects of welfare on household composition have been studied extensively, relatively little research has examined how housing assistance might relate to household composition. This research explores the relationship between housing assistance and household composition...

متن کامل

Improving Photo Composition Elegantly: Considering Image Similarity During Composition Optimization

Optimization of images with bad compositions has attracted increasing attention in recent years. Previous methods however seldomly consider image similarity when improving composition aesthetics. This may lead to significant content changes or bring large distortions, resulting in an unpleasant user experience. In this paper, we present a new algorithm for improving image composition aesthetics...

متن کامل

Superhero physiology: the case for Captain America.

Using pop icons in the science classroom represents a creative way to engage often-distracted students in a relevant and, perhaps more importantly, fun way. When the pop icon is as universally known as Captain America, the pedagogical stage is set. However, when the movies can also be employed to link dramatic references to the science concepts at hand, we may have a very powerful tool by which...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: ACM Transactions on Multimedia Computing, Communications, and Applications

سال: 2022

ISSN: ['1551-6857', '1551-6865']

DOI: https://doi.org/10.1145/3462762