For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com

1. Impulse Technologies
Beacons U to World of technology
044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
Photo Stream Alignment and Summarization for Collaborative
Photo Collection and Sharing
Abstract
With the popularity of digital cameras and camera phones, it is common for
different people, who may or may not know each other, to attend the same event
and take pictures and videos from different spatial or personal perspectives. Within
the realm of social media, it is desirable to enable these people to select and share
their pictures and videos in order to enrich memories and facilitate social
networking. However, it is cumbersome to manually manage these photos from
different cameras, of which the clocks settings are often not calibrated. In this
paper, we propose automatic algorithms to address the above problems. First, we
accurately align different photo streams or sequences from different photographers
for the same event in chronological order on a common timeline, while respecting
the time constraints within each photo stream. Given the preferred similarity
measures (e.g., visual, and spatial similarities), our algorithm performs photo
stream alignment via matching on a bipartite kernel sparse representation graph
that forces the data connections to be sparse in an explicit fashion. Furthermore, we
can produce a summary master stream from the aligned super stream of photos for
efficient sharing by removing those redundant photos in the super stream while
accounting for the temporal integrity. Based on a similar kernel sparse
representation graph, our master stream summarization algorithm performs greedy
backward selection to drop redundant photos without affecting the integrity of
remaining photos for the entire event. We evaluate our algorithms on real-world
personal online albums for 36 events and demonstrate its efficacy in automatically
facilitating collaborative photo collection and sharing.
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