How Google is advancing the state of image search

dariusz | Human Computer Interaction, Web & Interaction | As PDF Post2PDF | Wednesday, April 30th, 2008

If you’re interested in the state of the art of large domain (internet) image search, then undoubtedly Google comes up over and over again.

Google Image Search, with its simple interface and reasonable results, is the de-facto consumer-grade image search engine. Offerings from competitors are actually a little more feature rich, especially the MSN Live Image Search, but don’t resonate as loudly in academia or popular usage.

As an example, compare search results for “red corvette” from the big three: Google, MSN, Yahoo. MSN nails the exploratory task: no-refresh scrolling, quick access to filters such as “photos”, “black and white”, and image size options that feel a little more usable and natural than Googles. Yahoo! attempts some categorising and support for ontologies in their interface; while not perfect, it’s a direction highly praised in cutting-edge research.

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Defining the human context for search and retrieval.

dariusz | Masters Research | As PDF Post2PDF | Thursday, March 27th, 2008

I’m trying to wrap my head around all of the information I’m reading about image search. Search, retrieval, information, data, all of these terms are loaded, and used differently depending on whether I’m reading an HCI paper, a text analysis paper, or a blog post about search engine optimisation (SEO).

In hopes of simplifying things, I’ve settled on a human-centred, conceptual definition of search:

Search refers to the process of a user developing a need, defining a query, retrieving information, viewing result(s), providing feedback, and refinements of those steps.

The end result does not have to be finding a single result. Occasionally, other steps in the search process, such as seeing a result set, can satisfy the users need. For example, if the need was to gain information (”What does a ‘87 Oldsmobile Toronado FE3 look like?”) rather than find a specific image (”I need a picture of a black ‘84 Cutty!”), viewing the result set may be enough.

Figure 1 is an illustrates the definition of search, in the human and interface context.

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Settling on a Research Topic

dariusz | Masters Research | As PDF Post2PDF | Friday, February 29th, 2008

To be perfectly honest, I was admittied into my Masters program with zero funding. In retrospect, starting a two year+ project with no guaranteed income wasn’t the greatest idea, for a variety of reasons.

First, every semester I hope/pray to get a Graduate Teaching Assistant job, which luckily gets easier and easier as I accumulate “seniority points.”

Second, no funding means no specified project, which means freedom to choose any research topic I please, as long as my (very lenient/forgiving) advisor is OK with it. Well, it’s been about eight months since I’ve come back from India all ready to start researching, and only two days ago did I actually settle on a topic.

Eight months is a long time to pay tuition, and follow dead ends with literature reviews. Also, those months are expensive if you waste your time on partying, girls, video games, Union involvement, student government, keggers, new housemates, motorcycles, trips to Mississippi, Vancouver, Ottawa, and so on. Well .. maybe it wasn’t a complete waste, per se :)

Finally, I’ve settled on a topic that I’m truly interested in.

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