Real-time Guidance Camera Interface to Enhance Photo Aesthetic Quality

Xu, Yan; Ratcliff, Joshua; Scovell, James; Speiginer, Gheric; Azuma, Ronald

doi:10.1145/2702123.2702418

Cited by 16 publications

(5 citation statements)

References 9 publications

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“…OSCAR (Yao et al, 2012) is assumed to fulfill future needs of an amateur photographer, but giving such a feedback may be unrelated or unrealistic to the user, and also it is restricted to a small database in terms of coverage, diversity, and copyright. Xu et al (2015) suggest using a three-camera array to enhance the quality of the taken photos by the rule of thirds. In fact, the smartphone interface using the camera array information shows some real-time guideline to the user for taking a photo from another position.…”

Section: On-site Feedback On Photographic Systemmentioning

confidence: 99%

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

Farhat

Kamani

Wang

2022

ACM Trans. Multimedia Comput. Commun. Appl.

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

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Section: On-site Feedback On Photographic Systemmentioning

confidence: 99%

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

Farhat

Kamani

Wang

2022

ACM Trans. Multimedia Comput. Commun. Appl.

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“…While most people agree that composition rules are important for taking a photo, it would be nice to have an automatic and real-time evaluation of the current composition to determine if such a photo should be taken or not. Regarding this, Xu et al [11] proposed a real-time guidance camera interface; however, only rule of thirds is considered. Anon [12] filed a patent for real-time composition feedback defining some generally desired hardware and software specifications without elaborating on how to achieve real-time performance if many composition rules are involved.…”

Section: Related Workmentioning

confidence: 99%

“…The rule of thirds is the most well-known and applied image composition guideline [1, 2,4,[6][7][8][9][10][11]13,[16][17][18]. As illustrated on Figure 5, the image frame is divided into nine equal rectangles with two vertical gridlines and two horizontal gridlines.…”

Section: Rule Of Thirdsmentioning

confidence: 99%

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Photo Composition with Real-Time Rating

Yang

Chang³

2020

Sensors

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Taking a photo has become a part of our daily life. With the powerfulness and convenience of a smartphone, capturing what we see may have never been easier. However, taking good photos may not be always easy or intuitive for everyone. As numerous studies have shown that photo composition plays a very important role in making a good photo, in this study, we, therefore, propose to develop a photo-taking app to give a real-time suggestion through a scoring mechanism to guide a user to take a good photo. Due to the concern of real-time performance, only eight commonly used composition rules are adopted in our system, and several detailed evaluations have been conducted to prove the effectiveness of our system.

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“…These two studies are performed empirically by developing prototypes and conducting user studies to extract practical design guidelines. In addition, (Xu et al,) [102] proposed a mobile user interface for mobile camera in order to provide the quality of the photo by enhancing the guidance of the proposed interface based on photography composition rule called rule-of-thirds. Moreover, (Kascak et al,) [49] described and redesign the mobile user interface of remote patient monitoring (RPM) for older adults, in order to enhance the guidance of the RPM mobile application.…”

Section: -Preliminary Evaluation Phasementioning

confidence: 99%

Assessing the quality of mobile graphical user interfaces using multi-objective optimization

et al. 2019

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Aesthetic defects are a violation of quality attributes that are symptoms of bad interface design programming decisions. They lead to deteriorating the perceived usability of mobile user interfaces and negatively impact the Users eXperience (UX) with the mobile app. Most existing studies relied on a subjective evaluation of aesthetic defects depending on end-users feedback, which makes the manual evaluation of mobile user interfaces human-centric, time-consuming, and error-prone. Therefore, recent studies have dedicated their effort to focus on the definition of mathematical formulas that each targets a specific structural quality of the interface. As the UX is tightly dependent on the user profile, the combination and calibration of quality attributes, formulas, and users characteristics, when defining a defect, is not straightforward. In this context, we propose a fully automated framework which combines literature quality attributes with the users profile to identify aesthetic defects of MUI. More precisely, we consider the mobile user interface evaluation as a multi-objective optimization problem where the goal is to maximize the number of detected violations while minimizing the detection complexity of detection rules and enhancing the interfaces overall quality in means

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Real-time Guidance Camera Interface to Enhance Photo Aesthetic Quality

Cited by 16 publications

References 9 publications

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

CAPTAIN: Comprehensive Composition Assistance for Photo Taking

Photo Composition with Real-Time Rating

Assessing the quality of mobile graphical user interfaces using multi-objective optimization

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