CAPTAIN: Comprehensive Composition Assistance for Photo Taking

Abstract: Many people are interested in taking astonishing photos and sharing with others. Emerging high-tech hardware and software facilitate ubiquitousness and functionality of digital photography. Because composition matters in photography, researchers have leveraged some common composition techniques, such as the rule of thirds, the triangle technique, and the perspective-related techniques, to assess the aesthetic quality […]

Auction-based Resource Management in Computer Architecture

ABSTRACT Resource management systems rely on a centralized approach to manage applications running on each resource. The centralized resource management system is not efficient and scalable for large-scale servers as the number of applications running on shared resources is increasing dramatically and the centralized manager may not have enough information about applications’ need. This work […]

CAGE: Contention-Aware Game-theoretic modEl

Abstract Traditional resource management systems rely on a centralized approach to manage users running on each resource. The centralized resource management system is not scalable for large-scale servers as the number of users running on shared resources is increasing dramatically and the centralized manager may not have enough information about applications’ need. In this paper […]

Deep-learned Models and Photography Idea Retrieval

Intelligent Portrait Composition Assistance (IPCA) Farshid Farhat, Mohammad Kamani, Sahil Mishra, James Wang ACM Multimedia 2017, Mountain View, CA, USA (Acceptance rate = 64/495 = 12.93%) ABSTRACT: 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 […]

Publications

Discovering Triangles in Portraits for Supporting Photographic Creation, S He, Z Zhou, F Farhat, JZ Wang, IEEE Transactions on Multimedia, Aug 2017. Intelligent Portrait Composition Assistance — Integrating Deep-learned Models and Photography Idea Retrieval, F Farhat, MM Kamani, S Mishra, JZ Wang, July 2017. Skeleton Matching with Applications in Severe Weather Detection, MM Kamani, F […]

Discovering Triangles in Portraits and Landscapes

ABSTRACT Incorporating the concept of triangles in photos is an effective composition method used by professional photographers for making pictures more interesting or dynamic. Information on the locations of the embedded triangles is valuable for comparing the composition of portrait photos, which can be further leveraged by a retrieval system or used by photographers. This […]

Skeleton Matching for Severe Weather Detection

Title: Skeleton Matching with Applications in Severe Weather Detection Authors: Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar and James Z. Wang. Elsevier Journal: Applied Soft Computing, ~27 pages, May 2017. Abstract: Severe weather conditions cause an enormous amount of damages around the globe. Bow echo patterns in radar images are associated with a number of […]

EECS PSU

Farshid Farhat @ EECS PSU PhD Candidate School of Electrical Engineering and Computer Science The Pennsylvania State University Address: 310 IST Building, University Park, PA, 16802. Email: fuf111 AT psu DOT edu Web: Farshid Farhat ‘s Site About Me I am a member of Intelligent Information Systems (IIS) research lab at Penn State. I am working with Prof. […]

Detecting Dominant Vanishing Points in Natural Scenes

Abstract: Linear perspective is widely used in landscape photography to create the impression of depth on a 2D photo. Automated understanding of linear perspective in landscape photography has several real-world applications, including aesthetics assessment, image retrieval, and on-site feedback for photo composition, yet adequate automated understanding has been elusive. We address this problem by detecting […]

Shape matching for automated bow echo detection

Abstract: Severe weather conditions cause enormous amount of damages around the globe. Bow echo patterns in radar images are associated with a number of these destructive thunderstorm conditions such as damaging winds, hail and tornadoes. They are detected manually by meteorologists. In this paper, we propose an automatic framework to detect these patterns with high […]